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Social Media - Science topic

Explore the latest questions and answers in Social Media, and find Social Media experts.
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Hi,
I am a student in business school at the EU in Barcelona and as part of our marketing research class we are doing a report on social media online consumer behaviour. In order to conduct our research, we design a survey destined to professionals to understand and gather data on the impact of social media on online consumer behaviour.
If you want to help us, here is a survey:
Thank you for your consideration.
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Thank you for your answer, Edim Eka James your input is interesting and actually summarise the overall results of our survey.
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To what extent has the scale of disinformation generated with the use of applications available on the Internet based on generative artificial intelligence technology increased?
To what extent has the scale of disinformation generated in online social media increased using applications based on generative artificial intelligence technology available on the Internet?
Many research institutions have included among the main types of threats and risks developing globally in 2023 the question of the increase in the scale of organized disinformation operating in online social media. The diagnosed increase in the scale of disinformation generated in online social media is related to the use of applications available on the Internet based on generative artificial intelligence technology. With the help of applications available on the Internet, it is possible without being a computer graphic designer and even without artistic skills to simply and easily create graphics, drawings, photos, images, videos, animations, etc., which can represent graphically professionally created “works” that can depict fictional events. Then, with the help of other applications equipped with generative artificial intelligence technology and advanced language models, i.e. with the help of intelligent chatbots, text can be created to describe specific “fictional events” depicted in the generated images. Accordingly, since the end of 2022, i.e. since the first such intelligent chatbot, i.e. the first versions of ChatGPT, were made available on the Internet, the number of memes, photos, comments, videos, posts, banners, etc. generated with the help of applications equipped with tools based on artificial intelligence technology has been growing rapidly, including the rapid increase in the scale of disinformation generated in this way. In order to limit the scale of the aforementioned disinformation developing in online media, on the one hand, technology companies running social media portals and other online information services are perfecting tools for identifying posts, entries, comments, banners, photos, videos, animations, etc. that contain specific, usually thematic types of disinformation. However, these solutions are not perfect, and the scales of disinformation operating in internecine social media are still high. On the other hand, specific institutions for combating disinformation are being established, NGOs and schools are conducting educational campaigns to make citizens aware of the high scale of disinformation developing on the Internet. In addition, proposed regulations such as the AIAct, which as a set of regulations on the proper use of tools equipped with artificial intelligence technology is expected to come into force in the next 2 years in the European Union may play an important role in reducing the scale of disinformation developing on the Internet.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
To what extent has the scale of disinformation generated in online social media using applications based on generative artificial intelligence technology available on the Internet increased?
To what extent has the scale of disinformation generated using applications based on generative artificial intelligence technology available on the Internet increased?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Su capacidad de generar desinformación es por lo genérico de sus datos de entrenamiento, Watson especializado en temas médicos es fiable de a un punto sorprendente. ahora ahora, que yo sepa no ha fulminado a ningún enfermo, por el contrario las tasas de recuperación no se han disparado.
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how can improve the crédibilité of a brand in social media ?
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Improving the credibility of a brand on social media requires a multifaceted approach aimed at fostering trust, authenticity, and engagement with your audience.
Here are several strategies you might consider:
Consistent Brand Voice and Messaging: Ensure that your brand maintains a consistent voice and messaging across all social media platforms. This helps to establish a cohesive identity and reinforces brand recognition.
Transparency and Authenticity: Be transparent in your communications and interactions. Authenticity builds trust with your audience and demonstrates integrity. Avoid using overly promotional language and instead focus on providing value and meaningful content.
Engagement and Responsiveness: Actively engage with your audience by responding to comments, messages, and mentions promptly. This demonstrates that you value their input and are committed to building relationships with them.
Quality Content: Share high-quality, relevant content that resonates with your target audience. This could include informative articles, engaging videos, compelling visuals, and user-generated content.
Customer Reviews and Testimonials: Encourage satisfied customers to share their experiences and testimonials on social media. Positive reviews and testimonials serve as social proof and can help to build credibility and trust in your brand.
Influencer Partnerships: Collaborate with influencers or brand ambassadors who align with your values and target audience. Influencers can help to amplify your brand message and reach new audiences, lending credibility to your brand through their endorsement.
Community Building: Foster a sense of community among your followers by creating opportunities for interaction and discussion. This could include hosting live Q&A sessions, creating dedicated Facebook groups, or organizing user-generated content contests.
Social Proof: Showcase social proof such as awards, certifications, partnerships, and endorsements from reputable sources. This helps to validate your brand and establish credibility in the eyes of your audience.
Monitoring and Managing Reputation: Monitor mentions of your brand on social media and respond promptly to any negative feedback or criticism. Addressing issues transparently and proactively demonstrates your commitment to customer satisfaction and can help to mitigate reputational damage.
By implementing these strategies consistently and authentically, you can enhance the credibility of your brand on social media and foster stronger connections with your audience.
Sincerely,
[Edim Eka James, PhD]
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To what extent do artificial intelligence technology, Big Data Analytics, Business intelligence and other ICT information technology solutions typical of the current Fourth Technological Revolution support marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns?
Among the areas in which applications based on generative artificial intelligence are now rapidly finding application are marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns. More and more advertising agencies are using generative artificial intelligence technology to create images, graphics, animations and videos that are used in advertising campaigns. Thanks to the use of generative artificial intelligence technology, the creation of such key elements of marketing communication materials has become much simpler and cheaper and their creation time has been significantly reduced. On the other hand, thanks to the applications already available on the Internet based on generative artificial intelligence technology that enable the creation of photos, graphics, animations and videos, it is no longer only advertising agencies employing professional cartoonists, graphic designers, screenwriters and filmmakers that can create professional marketing materials and advertising campaigns. Thanks to the aforementioned applications available on the Internet, graphic design platforms, including free smartphone apps offered by technology companies, advertising spots and entire advertising campaigns can be designed, created and executed by Internet users, including online social media users, who have not previously been involved in the creation of graphics, banners, posters, animations and advertising videos. Thus, opportunities are already emerging for Internet users who maintain their social media profiles to professionally create promotional materials and advertising campaigns. On the other hand, generative artificial intelligence technology can be used unethically within the framework of generating disinformation, informational factoids and deepfakes. The significance of this problem, including the growing disinformation on the Internet, has grown rapidly in recent years. The deepfake image processing technique involves combining images of human faces using artificial intelligence techniques.
In order to reduce the scale of disinformation spreading on the Internet media, it is necessary to create a universal system for labeling photos, graphics, animations and videos created using generative artificial intelligence technology. On the other hand, a key factor facilitating the development of such a problem of generating disinformation is that many legal issues related to the technology have not yet been settled. Therefore, it is also necessary to refine legal norms on copyright issues, intellectual property protection that take into account the creation of works that have been created using generative artificial intelligence technology. In addition to this, social media companies should constantly improve tools for detecting and removing graphic and/or video materials created using deepfake technology.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
To what extent does artificial intelligence technology, Big Data Analytics, Business intelligence and other ICT information technology solutions typical of the current Fourth Technological Revolution support marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns?
How do artificial intelligence technology and other Industry 4.0/5.0 technologies support Internet marketing processes?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Dariusz Prokopowicz Here’s my contribution. Alright, buckle up for some casual talk on how AI and other fancy tech boost online marketing! So, imagine you're running an online store, right? AI swoops in like a superhero to analyze data faster than you can say "sell." It crunches numbers to predict what your customers want, helping you tailor your ads and products. Plus, it can handle repetitive tasks like email campaigns or chatbots, leaving you more time to brainstorm killer strategies. Then there's Industry 4.0/5.0 tech, like IoT and big data. These babies collect all sorts of juicy info from smart devices, giving you insights into consumer behavior that you never knew you needed. Long story short, AI and pals are like your trusty sidekicks, making online marketing a breeze.
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Is it ethical for someone on social media to offer for sale access to selected AI applications, i.e. applications based on artificial intelligence technology offered in the form of links, plug-ins on created websites, applications that can be found on the Internet for free?
I have participated in trainings whose organizers advertised on social media and during which they first presented their achievements in social media, pointed out the large income they generate within the framework of large reach in these online media, then talked about social media, marketing and online advertising used in these media, the possibility of using various applications based on artificial intelligence technology within the framework of marketing activities, creating and running advertising campaigns in social media and then presented their paid offers to gain access to these applications through created additional overlays, intermediary platforms, websites. Such training courses, webinars are usually free of charge. After the training, participants can receive free certificates confirming their participation in the training. This is a free additional form of incentive to participate in the training. On the other hand, among the forms of encouraging the purchase of access to specific AI applications is a promotional offer that lasts until the end of the training time and/or until the end of the day. however, it happens that the people conducting this type of training are not computer scientists who create AI applications, they are influencers, youtubers who have contrived to sell access to selected applications based on artificial intelligence technology, which for a certain fee will be available on created overlays, websites that act as intermediary applications to access specific source applications that are available for free on the Internet. In addition, it happens that those who conduct this kind of training do not even have a registered business and cannot even issue a VAT invoice for the services sold in this way in mediating access to selected AI applications. Surprisingly, the tax authorities in the various countries where such youtubers operate have not yet addressed this issue, given that some unethical individuals operating in this way boast about the high income they earn during such training sessions. It can be a problem of sorts for public tax authorities operating in individual countries if this kind of training and business activity is conducted via the Internet from other countries, which can be a kind of tax haven for this kind of activity. However, the problem can be serious if this kind of activity is conducted from a country referred to as a tax haven and is aimed at citizens of other countries. Apparently, there is still a lack of legal regulations that would effectively limit the use of unethical, unreliable business practices in the use of certain solutions based on artificial intelligence.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it ethical that in social media someone offers for sale access to selected AI applications, i.e. applications based on artificial intelligence technology offered in the form of links, plug-ins on created websites, applications that can be found on the Internet for free?
Is it ethical for someone to offer for sale on social media access to AI applications that can be found on the Internet for free?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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This is fundamentally a matter of supply with demand. Even if a product exists, what someone doesn't know about is as good as not being there.
The entity advocating and promoting the free AI tool is ultimately participating in the value chain by playing the role of nurturing incremental awareness and consideration for the platform
In return, he is marking it up to ensure that he is able to secure profits in return for his effort
In the event customers are able to find the AI solution without his assistance, then his value diminishes.
However, through promotional efforts spearheaded by the social media advocate, if the product gains access to markets previously invisible to the brand, then ultimately he is generating an incremental advantage for the AI platform.
This is because by reselling it and charging for it, he inadvertantly is also driving adoption which is beneficial to the free AI platform, as it stimulates network effects that make the solution more compelling when it accumulates more users.
That being said, whether or not he is legally authorised to resell the AI platform is another story altogether, which may require him to secure the rights to pursue this strategy with the blessing of the AI platform he claims to represent.
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Lot of misinformation on social platforms - how could we minimize this?
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I think by educating citizens about media literacy and how to identify fake information and encouraging them to report about it. Also, algorithms are key tools to detect misinformation nowadays.
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C-level executives and high-ranking managers are prime targets for phishing attacks using malicious QR codes, termed "quishing."
In the fourth quarter of 2023, C-suite members were 42 times more likely to receive QR Phishing attacks compared to non-executive employees.
Let’s learn how QR phishing campaign works:
Also read: The Potential Risks of “QR Code Phishing” a.k.a “Quishing”Attackers create malicious QR codes that impersonate legitimate websites like bank login pages or popular online stores.
These malicious QR codes are then strategically placed in various locations, both physical (posters, packaging) and digital (emails, social media ads).
Leveraging social engineering tactics, the attackers employ messages that either exploit urgent needs like password rest or offer exclusive rewards to manipulate users into scanning the code.
When the user tries to access it, it takes them to an attacker-controlled malicious website.
The malicious website prompts users to enter their login credentials, personal details, or financial information.
Sometimes, right after scanning the code, the website would download malware straight onto the user's device.
Read our research article on the above attack mitigation:
360159651_Secured_Secret_Sharing_of_QR_Codes_Based_on_Nonnegative_Matrix_Factorization_and_Regularized_Super_Resolution_Convolutional_Neural_Network
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QR codes are great and easy ways of accessing information. It is simple, however, they present fertile grounds for attacks as many users do not see what site they are accessing. It is important that users access QR codes with caution and developers ought to protect any form of attacks through QR codes
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Do companies running social media portals consciously shape the general social awareness of citizens, Internet users through the specific information policies applied?
In recent years, there have been an increasing number of examples of situations of deliberate practices in which companies operating social media portals consciously shape the general social awareness of citizens, Internet users through specific information policies applied. The Senate Committees of Inquiry at the U.S. Capitol, which have been taking place for several years, address, among other things, the issue of verifying the use of, for example, algorithms on Facebook platforms that promote certain content, including not only socially positive content, but also socially negative content. The aforementioned algorithms are then changed so that the scale of social negativity is reduced. However, recently there have been an increasing number of similar socially negative cases of algorithms promoting specific political content, e.g. promoting content typical of right-wing political options and limiting the spread of certain social media sites typical of left-wing political content. Thus, these are situations of intentional discrimination against a part of the community of citizens holding certain political views, which the owners of certain companies operating social media portals have deemed to be contrary to the information policy applied in their social media and/or the specific ideology promoted in these media. This type of activity does not correlate with the issue of freedom of speech, unrestricted development of the information society, democracy.
Recently, companies running social media sites have been improving the aforementioned media through the implementation of new Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence. The aforementioned technologies can also be used to technically improve the algorithms that control and promote selected content typed and passed on by Internet users, users of the aforementioned online media, which is an important part of shaping information policy in these media.
I have described the issues of the role of information, information security, including business information transferred through social media, and the application of Industry 4.0/5.0 technologies to improve data and information transfer and processing systems in social media in the following articles:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
The Importance and Organization of Business Information Offered to Business Entities in Poland via the Global Internet Network
THE QUESTION OF THE SECURITY OF FACILITATING, COLLECTING AND PROCESSING INFORMATION IN DATA BASES OF SOCIAL NETWORKING
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Do the companies running social media portals consciously shape the general social consciousness of citizens, Internet users through the specific information policies applied?
Do companies running social media portals shape the general social consciousness of citizens through the specific information policies applied?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Yes, social media companies significantly shape social awareness through their information policies, dictating what content users see. Their algorithms and content moderation decisions influence public discourse and perceptions of various issues, highlighting their substantial impact on society's collective understanding.
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I think by merging AI's personalized learning capabilities with the interactive, community-oriented features of social media, language learning can become a more dynamic, engaging, and effective process, deeply impacting both the cognitive development and social integration of learners.
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The synthesis of AI-driven personalized learning systems and social media platforms holds immense potential to revolutionize traditional language learning models. By harnessing the power of artificial intelligence, these systems can provide tailored learning experiences that cater to individual learners' preferences, strengths, and learning styles. Integration with social media platforms allows for the analysis of users' interactions, interests, and content consumption patterns, enabling the customization of learning content and activities to match their needs. Additionally, real-time feedback and assessment, facilitated by AI algorithms, enhance language practice and proficiency development. Social media's vast repository of user-generated content further enriches language learning by providing diverse resources and opportunities for interaction with native speakers and other learners worldwide. Moreover, the formation of language learning communities on social media fosters collaboration, support, and peer-to-peer learning experiences. Through data-driven insights and continuous improvement, educators and developers can refine learning strategies, interventions, and recommendations, ultimately leading to more effective and engaging language learning experiences. In essence, the synthesis of AI-driven personalized learning systems and social media platforms transforms traditional language learning models into dynamic, adaptive, and interconnected ecosystems that empower learners to achieve their language learning goals more efficiently and effectively.
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In celebration of the release of the 3rd edition of my book 'Effective Science Communication', IOP publishing is making the 2nd edition FREE via open access until the end of May!
All you need to do is follow this link and fill in a super short (7 questions; 1 minute) survey:
I hope some of you find this useful.
Sam
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Thank you David. 🙏
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Social media, linguistic security
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Dear Dr. Omar Hazaymeh ,
Social media can have both positive and negative impacts on linguistic security. On one hand, social media platforms can offer a permissive environment for the use and maintenance of minority languages, contributing to digital language vitality and revitalization. They can help create social networks between minority language speakers and provide a space for everyday communication in these languages.
On the other hand, social media can also contribute to linguistic insecurity. This is a discomfort or anxiety when speaking, often due to a speaker’s own evaluation of their way of speaking as inferior to a perceived “correct” or more prestigious language variety. The standard language ideology and stereotyping of accents on social media can perpetuate this insecurity, leading to prejudice and discrimination.
Moreover, there are concerns about foreign interference through social media, which can be an active threat to linguistic security by promoting certain languages or dialects over others for political purposes.
In summary, social media can both enhance and weaken linguistic security, depending on how it is used and the context in which language varieties are presented and valued.
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How to use artificial intelligence technology and Big Data to help develop critical thinking in young people and the goal of reducing disinformation that targets children and young people through online social media?
Disinformation is currently the most frequently cited problem occurring in social media from which children and young people gain knowledge. Companies engage advertising companies that specialize in running online advertising campaigns, in which advertising spots, videos and banners informing people about promotional offers for products and services sold are posted on social media. The aforementioned online social media are also viewed by children and teenagers. For some of these social media, the primary audiences for profiled information and marketing messages are mainly school-aged youth. Children and adolescents are particularly susceptible to the influence of information transferred through the aforementioned online media. Advertisements are thematically profiled to correlate with issues that are in the field of the main interests of children and adolescents. Unfortunately, many offers of various products and services promoted through online advertising campaigns are not suitable for children and adolescents and/or generate a lot of negative effects. Nowadays, applications based on generative artificial intelligence technology, intelligent chatbots, are increasingly used to generate banners, graphics, photos, videos, animations, advertising spots. With the help of these tools, which are available on the Internet, it is possible to create a photo, graphic or video on the basis of a written command, i.e. a kind of digitally generated works of such high graphic quality that it is very difficult to determine whether they are, for example, authentic photos taken with a camera or smartphone or are supposedly photos generated by an intelligent chatbot. It is especially difficult to resolve this kind of issue for children and young people who view these kinds of artificial intelligence technology-generated "works" used in banners or advertising videos. It is necessary, therefore, that education should develop in children the ability to think critically, to ask questions, to question the veracity of the content of advertisements, not to accept uncritically everything found in online social media. It is essential to add the issue of learning critical thinking to the process of educating children and young people. The goal of such education should be, among other things, to develop in children and young people the ability to identify disinformation, including the increasingly common factoids, deepfakes, etc. in online social media. In connection with the fact that in the creation of disinformation occurring mainly in the aforementioned social media are involved applications based on artificial intelligence, so children and adolescents should, within the framework of education, learn about the applications available on the Internet based on generative artificial intelligence technology, through which it is possible to generate texts, graphics, photos, drawings, animations and videos in a partially automated manner according to a given verbal command. This is how the applications available on the Internet based on the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data technologies, should be used to help develop critical thinking and a kind of resistance to misinformation in young people. During school lessons, students should learn about the capabilities of AI-based applications available on the Internet and use them creatively to develop critical thinking skills. In this way, it is possible to reduce disinformation directed through online social media towards children and young people.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to use artificial intelligence and Big Data technologies to help develop critical thinking in young people and the goal of reducing misinformation that targets children and young people through online social media?
How can artificial intelligence technology be used to help educate youth in critical thinking and the ability to identify disinformation?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I will be teaching Critical Thinking as a stand-alone full semester course in a BSc in the Fall. I've incorporated AI by requiring learners to evaluate the AI information comparatively to information that is available in other formats (most prominently research and scientific consensus information) for specific topics, including the topic of CT, which is based primarily in self-evaluation of own thinking processes. AI cannot, as far as I know, mimic CT because it requires personal insight. For now this makes AI another thought process challenge for the critical-thinking learner. They are not expected to rely on any information provided to them by AI, as they are not expected to rely on any information provided to them in other formats, until they've evaluated both the information and their thought processes in relation to that information and come to a logical and justifiable position.
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How to curb the growing scale of disinformation, including social media-generated factoids, deepfakey through the use of generative artificial intelligence technology?
In order to reduce the growing scale of disinformation, including disinformation generated in social media through in the increasing scale of emerging fakenews, deepfakes, disinformation generated through the use of applications available on the Internet based on generative artificial intelligence technology, the just mentioned GAI technology can be used. Constantly improved, taught to carry out new types of activities, tasks and commands, intelligent chatbots and other applications based on generative artificial intelligence technology can be applied to identify instances of disinformation spread primarily in online social media. The aforementioned disinformation is particularly dangerous for children and adolescents, it can significantly affect the world view of the general public's awareness of certain issues, it can affect the formation of development trends of certain social processes, it can affect the results of parliamentary and presidential elections, it can also affect the level of sales of certain types of products and services, and so on. In the absence of a developed institutional system of media control institutions, including the new online media; lack of a developed system of control of the level of objectivity of content directed to citizens in advertising campaigns; lack of consideration of the issue of disinformation analysis by competition and consumer protection institutions; lack of or poorly functioning democracy protection institutions; lack of institutions that reliably take care of a high level of journalistic ethics and media independence, the scale of disinformation of citizens by various groups of influence, including public institutions and commercially operating business entities may be high and may generate high social costs. Accordingly, new technologies of Industry 4.0/5.0, including generative artificial intelligence (GAI) technologies, should be involved in order to reduce the scale of growing disinformation, including the generation of factoids, deepfakes, etc. in social media. The aforementioned GAI technologies can help identify fakenews pseudo-journalistic content, identify photos containing deepfakes, identify factually incorrect content contained in banners, spots and advertising videos published in various media as part of ongoing advertising and promotional campaigns aimed at activating sales of various products and services.
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in an article of my co-authorship:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to curb the growing scale of disinformation, including social media generated factoids, deepfakey through the use of generative artificial intelligence technology?
How to curb disinformation generated in social media using artificial intelligence?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Prof. Prokopowicz!
You spotted a real problem to fight with. I found a case study "Elections in 2024" that illustrates blind spots...:
a) CHARLOTTE HU (2024). How AI Bots Could Sabotage 2024 Elections around the World: AI-generated disinformation will target voters on a near-daily basis in more than 50 countries, according to a new analysis, Scientific American 24 February 2024, Quoting: "Currently, AI-generated images or videos are easier to detect than text; with images and videos, Du explains, “you have to get every pixel perfect, so most of these tools are actually very inaccurate in terms of lighting or other effects on images.” Text, however, is the ultimate challenge. “We don’t have tools with any meaningful success rate that can identify LLM-generated texts,” Sanderson says." Available at:
b) Heidi Ledford (2024). Deepfakes, trolls and cybertroopers: how social media could sway elections in 2024: Faced with data restrictions and harassment, researchers are mapping out fresh approaches to studying social media’s political reach. News, Nature 626, 463-464 (2024) Quoting: "Creative workarounds: ...behind the scenes, researchers are exploring different ways of working, says Starbird, such as developing methods to analyse videos shared online and to work around difficulties in accessing data. “We have to learn how to get insights from more limited sets of data,” she says... Some researchers are using qualitative methods such as conducting targeted interviews to study the effects of social media on political behaviour, says Kreiss. Others are asking social media users to voluntarily donate their data, sometimes using browser extensions. Tucker has conducted experiments in which he pays volunteers a small fee to agree to stop using a particular social media platform for a period, then uses surveys to determine how that affected their exposure to misinformation and the ability to tell truth from fiction."
Yours sincerely, Bulcsu Szekely
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In a nutshell ,the effect of social media on the mental wellbeing of youth
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Recently, the CEOs of Facebook, Snapchat, and Instagram appeared before a United States Senate subcommittee to respond to intense questioning regarding the adverse effects of their social media presentations to adolescents and young adults 14 through 24 years of age. Each admitted to the senators that social media did, in fact, contribute to adverse reactions to youthful populations between the ages of 14 and 24. However, they responded by stating that they were doing all they could to alleviate this problem, to which several senators from both political parties contended little if anything had been done to clean up problems observed on social media. Senator Hawley, a Republican in Missouri, angrily pressed CEO Zuckerberg of Facebook to apologize to parents in the senate chambers for the death of their children due to the adverse of the social to "clean up his act." Mr. Zuckerberg did so reluctantly.
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How the social media influences the well being of students in higher institution
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Social media positively influences the well-being of students in higher institutions. For example, Social media platforms allow students to connect and communicate with peers, friends, and family members easily. This can help reduce feelings of loneliness and isolation, especially for students who are away from home. On the other hand, Social media can also have negative influences on the well-being of students in higher institutions. For example, Spending excessive time on social media, especially before bedtime, can disrupt sleep patterns and lead to sleep deprivation, impacting students' overall health and well-being.
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When a user has set notifications or alerts to start an exercise or do the chores, when the notification is delivered, the user may be too engaged in another activity (like social media) which will lead to dismissal of the notification.
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Yes, there has been research on using machine learning techniques to predict the optimal timing for delivering notifications or alerts to users when they are most likely to engage in productive tasks. This area of study falls under the broader field of context-aware computing and personalized recommender systems. Here are some key aspects of this research:
  1. Contextual Features: Researchers have investigated various contextual features that can be used to predict users' receptiveness to notifications, including time of day, location, activity level, device usage patterns, and social context. Machine learning models are trained on historical data to learn patterns and correlations between these features and users' responsiveness to notifications.
  2. Predictive Models: Machine learning algorithms such as decision trees, random forests, support vector machines, and neural networks have been employed to build predictive models for determining the optimal timing for delivering notifications. These models take into account multiple contextual factors to predict the likelihood that a user will engage with a notification at a particular time.
  3. User Modeling: Some studies have focused on building user models that capture individual differences in responsiveness to notifications. These models may incorporate demographic information, personality traits, past behavior, and user preferences to personalize the timing and content of notifications for each user.
  4. Feedback Mechanisms: Machine learning techniques are also used to incorporate feedback mechanisms into notification systems, allowing them to adapt and improve over time based on users' interactions and responses. Reinforcement learning algorithms, in particular, can be employed to optimize notification delivery strategies through trial and error.
  5. Evaluation Metrics: Researchers typically evaluate the effectiveness of machine learning-based notification systems using metrics such as notification response rate, engagement rate, user satisfaction, and task completion time. These metrics help assess the impact of personalized notification strategies on users' productivity and overall experience.
Overall, research on using machine learning techniques to predict the optimal timing for delivering notifications aims to enhance user engagement and productivity by delivering notifications at times when users are most receptive and likely to act on them.
Please follow me if it's helpful. All the very best. Regards, Safiul
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Briefly explain how libraries can utilise different applications of social media to market and promote new and existing information resources and services to their users and non-users in academic setting. Provide evidence of sources to support your assertions or claims in your answer.
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Libraries in academic settings can boost visibility and engagement by leveraging social media platforms. They can share updates, create engaging content, run interactive campaigns, collaborate with campus entities, use visuals, and monitor metrics for effectiveness. Evidence from sources like Brian Mathews and Nancy Dowd supports these strategies for effective library marketing on social media.
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Dear Ms. El-Sherbiny!
Please let me add that Elsevier is a huge, dedicated well-functioning community where you can find help when you need it. Please subscribe to the following services:
1) Empower researcher career-building and network development https://www.elsevier.com/academic-and-government/researcher-career-network-development'
2) Elsevier Researcher Academy: https://researcheracademy.elsevier.com/about
Yours sincerely, Bulcsu Szekely
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social media influence and social media marketing both are the almost same concepts.
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Zhang, K. Z., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision support systems, 86, 95-108.‏
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I know, what is new media like instagram, facebook, and etc...
but, is there an academic definition of new media even though I have a some diea of what new media is?
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The concept of new media is usually treated as a collective noun accommodating a variety of the forms of electronic communication enabled using computer technology (Friedmann & Friedmann, 2008). “These include those internet-based tools and services that allow users to engage each other, generate content, distribute, and search for information online” (Anthony & Paul, 2020).
  • According to Zhao (2020), “New media is not only a generic term for all social media, such as Facebook, Instagram, and TikTok…it can also include all companies and technologies that produce new media, such as production, distribution, and exhibition”. Zhao adds that commercialization is intrinsically linked with new media, noting that “new media cannot be separated from commercialization”.
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Is it ethical and copyrightable to post ebooks created by ChatGPT on the Internet that lack citation references and commonly plagiarize entire sentences, paragraphs, chapters from other publications taken by OpenAI from various websites?
Over the past few months, a number of offers of various consulting services, training courses and webinars have appeared on online social media, which initially offer the first trial lessons, webinars, training courses as part of a promotion for free and subsequent ones for a fee. Initially, ebooks are offered free of charge as part of the promotion, which are usually developed with the help of ChatGPT, are of poor content quality, usually containing only general, well-known, popular science knowledge, which can be found independently on the Internet on various websites. Besides, the ebooks created with the help of ChatGPT or other similar intelligent chatbots do not contain all the sources correctly listed. Besides, the resulting ebooks contain many passages, whole sentences, paragraphs taken from other publications that are not shown in the bibliography, and plagiarism thus occurs. In addition, in the field of expertise, there are factual errors and irrational, random, random, combined content from different sources, and thus inconsistent with the facts, ridiculous content and/or descriptions of "fictitious facts" occur. This is because much of the database that constitutes the sources of data and information for ChatGPT is factually outdated, as it dates from late 2021 or January 2022. It may happen that in the ChatGPT-generated text there may be some sensitive data of specific companies or public institutions, which found themselves there accidentally by being mistakenly entered into ChatGPT by an employee of a specific company or institution. In view of the above, there are still gaps in paragraphs in the legal norms defining the rules for the correct use of tools such as ChatGPT, and still the adaptation of legal norms to the rapidly developing technology is often done with too much delay. Besides, popular online social media even feature partly free and partly paid training courses and webinars, where Internet users learn how to create texts for articles, columns, essays, etc., as well as chapters for books, which can be published as ebooks, in a relatively easy way with the help of applications available on the Internet based on generative artificial intelligence technology. Besides, in addition to text, graphics, photos, drawings, etc., which are included in the texts of chapters in ebooks can also be generated semi-automatically in applications based on generative artificial intelligence technology. It also happens that during the aforementioned online trainings and webinars, access is sold to specially created websites that act as intermediary platforms, overlays that contain links to various AI-based web applications, which have been classified in a certain way on a specially created platform and, to make identification more difficult, the links are called by different names relative to the web applications to which they direct. In addition, many of these web-based applications based on generative AI technology are made available on the Internet on the original source sites free of charge. On the other hand, on intermediary platforms created by companies or sole proprietors that contain links referencing these applications, access is paid for and is often sold as part of so-called promotional offers during the conducted, aforementioned online training courses and webinars. Internet users usually learn about such online trainings and webinars from banners and advertising posts posted on popular online social media sites.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it ethical and copyrightable to post on the Internet ebooks created by ChatGPT that lack citation references and commonly plagiarize entire sentences, paragraphs, chapters from other publications taken by OpenAI from various websites?
Is it ethical to post ebooks created by ChatGPT on the Internet that lack citation references and plagiarism commonly occurs?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Ethical questions nowadays are the most important ones especially concerning AI development. It is unethical to use a material without proper references and citations, and a plagiarism is still unacceptable. Authors and researchers who use AI to create an ebooks have to be critical to what was generated and add references manually if other ways do not work.
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To what extent do artificial intelligence technology, Big Data Analytics, Business intelligence and other ICT information technology solutions typical of the current Fourth Technological Revolution support marketing communication processes realized through Internet marketing, within the framework of social media advertising campaigns?
Among the areas in which applications based on generative artificial intelligence are now rapidly finding application are marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns. More and more advertising agencies are using generative artificial intelligence technology to create images, graphics, animations and videos that are used in advertising campaigns. Thanks to the use of generative artificial intelligence technology, the creation of such key elements of marketing communication materials has become much simpler and cheaper and their creation time has been significantly reduced. On the other hand, thanks to the applications already available on the Internet based on generative artificial intelligence technology that enable the creation of photos, graphics, animations and videos, it is no longer only advertising agencies employing professional cartoonists, graphic designers, screenwriters and filmmakers that can create professional marketing materials and advertising campaigns. Thanks to the aforementioned applications available on the Internet, graphic design platforms, including free smartphone apps offered by technology companies, advertising spots and entire advertising campaigns can be designed, created and executed by Internet users, including online social media users, who have not previously been involved in the creation of graphics, banners, posters, animations and advertising videos. Thus, opportunities are already emerging for Internet users who maintain their social media profiles to professionally create promotional materials and advertising campaigns. On the other hand, generative artificial intelligence technology can be used unethically within the framework of generating disinformation, informational factoids and deepfakes. The significance of this problem, including the growing disinformation on the Internet, has grown rapidly in recent years. The deepfake image processing technique involves combining images of human faces using artificial intelligence techniques.
In order to reduce the scale of disinformation spreading on the Internet media, it is necessary to create a universal system for labeling photos, graphics, animations and videos created using generative artificial intelligence technology. On the other hand, a key factor facilitating the development of this kind of problem of generating disinformation is that many legal issues related to the technology have not yet been regulated. Therefore, it is also necessary to refine legal norms on copyright issues, intellectual property protection that take into account the creation of works that have been created using generative artificial intelligence technology. Besides, social media companies should constantly improve tools for detecting and removing graphic and/or video materials created using deepfake technology.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
To what extent does artificial intelligence technology, Big Data Analytics, Business intelligence and other ICT information technology solutions typical of the current Fourth Technological Revolution support marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns?
How do artificial intelligence technology and other Industry 4.0/5.0 technologies support Internet marketing processes?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Industry 5.0 is a new production model which focuses on the cooperation between humans and machines. It stands for the recognition that technological advances and human insight and creativity are equally important.
Regards,
Shafagat
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The survey was done through a link placed on social media, so it wasn't random selection (i.e. probability sample). But I need to show that it can be viewed as representative to a certain degree, as stratified and clusters approach have been used.
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I see in the table you have the demographics, but how is prestige and popularity measured?
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Taking into account the available technological solutions and applications offered by ICT service providers, as well as the growing scale of psychological problems of children using smartphones and online social media, the following question arises that is relevant today: How to effectively organize parental control of what a child does in the aforementioned social media?
Children and adolescents represent the youngest generations using online social media. The youth currently attending schools and studying in universities are mainly the so-called Generation Z, who grew up with smartphones equipped with Internet access, including online social media. Today, the children and young people of Generation Z are thus at the greatest risk of being negatively influenced by online social media, including various types of misinformation, fake news, misleading unreliable offers of advertised products and services, influencers and youtubers promoting themselves, etc., which are increasingly appearing in them. In addition, there are many untrustworthy offers of products and services in social media, offers presented by influencers and youtubers, offers presented as part of advertising campaigns conducted in these media, offers promoted through spots, animations and advertising videos, in which generative artificial intelligence technology is increasingly used. It is increasingly common for advertising companies to create AI-generated influencer avatars based on intelligent chatbots for their online advertising campaigns. AI-generated fictional influencer personas look, speak and behave like real people in videos posted on social media. Internet users watching these digital influencers often don't realize that they are watching not real people but digitally generated non-sisterly real characters. In addition, in recent years there has been a growing scale of hate speech most often generated by peers from class, school. The developing hejt was the reason for the increasing scale of child and adolescent suicides in some countries in recent years. In addition, many people, especially young girls, have psychological problems due to a sense of low self-worth and self-esteem which is related to spending a lot of time on online social media and watching influencers promoting certain sublime standards, what is in a certain subculture of youth recognized and promoted as informal canons of beauty, attitudes, possession of certain material goods, etc. In addition, such psychological problems were exacerbated during the Covid-19 pandemic, which was associated with locdowns imposed in some countries on selected sectors of the economy, bans on being in certain types of public places, periodically introduced national quarantines and education conducted remotely in the form of e-learning. In some countries, the scale of such bans and restrictions, which were intended to slow down the transmission of the SARS-CoV-2 (Covid-19) coronavirus, was exceptionally large. This was the case, for example, in the country where I operate. Unfortunately, the mortality rate of citizens during the Covid-19 pandemic in Poland, despite the large-scale introduction of the aforementioned anti-pandemic bans and restrictions, was exceptionally high. Besides, the mentioned anti-pandemic bans and restrictions were introduced without adequate public consultation, on the basis of special legal regulations in the form of laws and ordinances, with the bases of prior research and analysis of the potential negative effects of such controversial measures. At present, in 2024, it is known that in the country in which I operate the negative effects of the aforementioned introduced on a record large scale so-called anti-pandemic measures, including bans, lockdown-type restrictions, periods of national quarantine were much more in comparison with the expected but not realized positive effects. In view of the above, taking into account the available technological solutions and applications offered by ICT service providers, as well as the growing scale of psychological problems of children using smartphones and online social media, it is necessary to improve the computerized systems and applications running on smartphones that enable effectively conducted parental control of what a child does on the aforementioned social media. On the other hand, citizens should influence politicians, and politicians should influence the technology companies that run online social media, so that these companies also take much greater care of the safety of children and young people using these media. The aforementioned technology companies should not treat children and young people merely as potential customers for product and service offers presented during advertising campaigns conducted on social media. The technology companies running these media should not create algorithms that promote posts, posts, comments, banners, animations, videos, etc. that contain negative and socially harmful content. That this is how this kind of media works was proven during the Senate committee hearings of former managers who previously worked at Meta, for example, and developed certain solutions within Facebook and Instagram. TokTok has also grown rapidly in recent years, which also features many examples of disinformation, factoids, posts, memes, entries, banners, videos, etc., containing unreliable and factually incorrect content, as well as many advertisements presenting various product and service offers aimed mainly at children and young people.
I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
I described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Considering the available technological solutions and applications offered by ICT service providers and the growing scale of psychological problems of children using smartphones and online social media, the following question arises that is relevant now: How to effectively organize parental control of what a child does in the mentioned social media?
How do you effectively organize parental control of what a child does on online social media, what he reads, what he writes about, what he browses, etc.?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Thank you,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Prof. Prokopowicz!
You raised a difficult problem to solve due to the complexity of the systemic nature of the issue to address. May I claim that this is a case (child) - and context (family, school, etc.) -dependent topic:
1) Thimm, C. (2023). Mediatized Families: Digital Parenting on Social Media. In: Dethloff, N., Kaesling, K., Specht-Riemenschneider, L. (eds) Families and New Media. Juridicum – Schriften zum Medien-, Informations- und Datenrecht. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-39664-0_2, Open access:
2) Pescott, C. K. (2024). ‘They are watching you do everything online’: Children's perceptions of social media surveillance. Children & Society, 00, 1–19. https://doi.org/10.1111/chso.12835, Open access: https://onlinelibrary.wiley.com/doi/10.1111/chso.12835?af=R
Yours sincerely, Bulcsu Szekely
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Why don't the companies running social networking sites that make money from ads posted on their social media bear full responsibility for the content of the ads posted and for the financial, social, moral and other damages caused by ads that are not properly verified?
In today's most popular online social media, there have recently been many untrustworthy advertisements for various products and services, including misleading ads presenting false, unreliable, fraudulent offers of pseudo financial services. Often beginners or experienced influencers and youtubers play the role of presenting certain offers. Sometimes the people presenting certain untrustworthy offers of products or services are seemingly random people who, seemingly as mere citizens of the Internet who want to share their experiences of using various offers, presenting mainly or exclusively positive aspects of using certain presented products and services in reality are paid by the companies whose offers they present. Sometimes influencers and youtubers are given ownership of a specific advertised product for free as a form of gratification. In addition, artificial intelligence technology is increasingly being used to create advertising spots broadcast on social media. Individuals and companies using generative artificial intelligence technology, including applications based on AI technology available for free on the Internet to create advertising spots are taking advantage of legal loopholes, i.e. the lack of legal regulations that would normalize this sphere of the use of AI technology and limit the scale of misinformation, generation of fejknews, untrustworthy advertisements presenting various product and service offers using misleading content to the public that is inconsistent with facts, unverified using reliable, objective expert knowledge, scientific research conducted, etc. In addition, in AI-generated spots, animations and advertising videos, more and more often, instead of human influencers and youtubers, there are replacing them with a kind of avatars, digitally generated people who do not exist in reality. It happens that digitally generated images of real existing public figures of politicians, athletes, showbiz people, actors, singers, etc. are used in unreliably generated spots, animations and advertising videos, into whose mouths are put statements, texts, words that in reality they have never spoken. Recently, more and more often in the online social media, in which there are certain segments, generations of Internet users, citizens, there are many unreliable, taking advantage of the low level of knowledge in the field, offers of pseudo financial services, offers of supposedly super easy and highly profitable investments in cryptocurrencies, in miraculous investment strategies in Bitcoin requiring virtually no knowledge of finance, extra unique investment offers in precious metals, in contracts on selected securities, shares of dynamically growing startups basing their development on artificial intelligence technology, conducting innovative research projects with the aim of creating a miracle cure for cancer or other difficult-to-treat or incurable diseases. Public organizations and institutions representing the interests of consumer citizens, dealing with the issue of consumer protection and competition, investigating the problem of unreliable and misleading citizens presented in social media spots, animations, advertising videos, NGOs and socially active organizations are trying to warn citizens against such unreliable, fraudulent, false content ads. However, the main role in protecting citizens acting as consumers of information should be played by the technology companies running the aforementioned online social media. Leading online technology companies running popular social media sites are developing new technologies and are most equipped with modern ICT, Industry 4.0/5.0 technologies, and are therefore most predisposed to create reliably effective systems for verifying the content used in advertising campaigns run on their social media. This is because there is a lack of legal regulations in the legal normatives that would oblige the companies running social networks earning money from the advertisements posted to verify the content used in the advertisements, to check the issue of compliance of the content of the advertisements with the facts, with the generally applicable expert knowledge, with the results of scientific research conducted, and to make the said technology companies fully responsible for the content of the advertisements posted in their social media and for the financial, social, moral and other damages caused by the advertisements not properly verified. Besides, in addition to the necessary legal regulations, there should be a system of mandatory insurance fund financed by the said technology companies, from which compensation would be paid for all the negative effects caused by the broadcast on social media of fake news, misleading product and service offers, unreliable influencers, youtubers, advertising companies, etc. An additional solution that should be introduced is the possibility of legal enforcement of financial claims on the aforementioned insurance funds from unreliable influencers, youtubers, advertising companies, etc.
I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
I described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Why don't the companies running social networks that make money from the ads posted on their social media bear full responsibility for the content of the ads posted and for the financial, social, moral and other damages caused by ads that are not properly verified?
Why don't the companies running social media sites bear full responsibility for the content of unreliable ads posted?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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1/ - The answer to the main question is in the first sentence - companies that make money on advertising are materially interested in having as many ads as possible. Therefore, any verification of ads is not in their interest.
2/ - How do you imagine verifying the reliability of advertisements? If you do it really seriously, it may turn out that no ad will pass the reliability test. The essence of advertising is to persuade people to behave in a certain way, make decisions, make choices, make purchases, conclude contracts, etc. Advertising typically uses manipulation, at least by exposing the advantages and omitting the disadvantages of products, services, investment offers... etc. Expecting reliability from advertisements is at least naive, and making important decisions based on them without verification on your own is stupid.
3/ - AI is a threat because it raises the possibilities of manipulation to a higher level. But the possibilities of manipulation themselves have existed for a very long time - only the technical means of their implementation and propagation are changing. Without questioning the validity of attempts to legally regulate this phenomenon, I am afraid that without appropriate education these regulations will be ineffective. Ultimately, AI will certainly be a cheaper solution than corrupting the so-called influencers. There remains the issue of distinguishing real people from artificially generated personas. This problem has also existed for years, for example in the form of troll farms used in commercial activities, in political marketing, as well as for the manipulation of social moods and information and psychological operations, which we can beyond any doubt qualify as an element of hybrid warfare. AI provides new technical possibilities, but the phenomenon itself is not new.
4/ - The idea of compensation requires consideration of the scope of liability. Compensations may be counterproductive. People protected by the possibility of obtaining compensation may become less careful and prudent and make more risky decisions in hopes of compensating for possible negative consequences. The experience of numerous frauds and financial pyramids shows that people who are eager to look for easy profits are also eager to look outside for those who are guilty and responsible for their own mistakes. I believe that reinforcing such attitudes by shifting responsibility for wrong decisions to other entities is at least risky.
5/ - I see no chance for practical verification of the compliance of advertisements with scientific knowledge. The essence of advertising is a large dose of creativity aimed at giving the recipient specific impressions and emotions. Ultimately, the introduction of such regulations may end in questioning the image of a purple cow in the "Milka" advertisement, because there are no such cows, while the authors of the most perfidious advertisements will probably make every effort to maintain formal compliance with such regulations. When you order a service and you are not satisfied with its performance, you can easily verify whether the contractor simply did something wrong or wanted to cheat you. An honest contractor will try to solve the problem himself, while a fraudster will be so well prepared and legally protected that it may be unprofitable to get him to acknowledge the complaint. If someone intends to act dishonestly, they usually prepare well for it and take care to minimize legal risk. Therefore, I expect exactly the same with regard to possible regulations regarding advertising accuracy.
6/ - To sum up, I believe that trying to solve the problem using legal methods will not be effective. We must take into account great resistance from groups that earn a lot of money from this type of advertising, accusations of introducing censorship and limiting freedom of speech, as well as undesirable side effects. For example, attempts to combat disinformation and conspiracy theories by legal means may add media coverage and contribute to their popularization. It may also turn out that the introduced provisions will actually become the basis for limiting freedom of speech by, at least temporarily, blocking publications that are inconvenient for the authorities and do not necessarily have the nature of advertising content. Therefore, I believe that education related to this type of threats, developing critical thinking skills and verification of sources, as well as reliable economic and social education as an element of protection against manipulation and belief in easy profits or simple solutions to complex problems are much more important.
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How can tourism businesses identify and engage with their target audience effectively through digital channels, including social media, search engines, and travel-related websites?
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In the context of tourism destination management, destination marketing is ascribed an elementary function. Destination marketing can be defined as: "selection and strategic combination of a consistent mix of brand elements to identify and distinguish a destination through positive image building" (Cai 2002).
Destination brand management has a special task in that it emphasizes the individual charm of a destination and gives the destination a unique identity in global competition and distinguishes it from the competition (Aaker 1996; Morgan & Pritchard 2004). Consequently, a brand represents a unique combination of (tourism) products, (destination) characteristics as well as functional and non-functional added values that have taken on a relevant meaning. These are now inextricably linked to this brand, and awareness of it can be either conscious or intuitive (Macrae et al. 1995).
In order to implement and apply destination branding effectively and efficiently, five essential components are required, namely: 1. brand culture, 2. brand leadership, 3. brand communication, 4. coordination of various service providers and 5. stakeholder partnerships (Hankinson 2009). Strong destination brands are characterized in particular by rich emotional meaning, strong conversational value and the creation of high anticipation/expectation (Morgan, Pritchard & Piggott 2002).Typologically, Hankinson (2004) distinguishes four types of brand conception: brands in their function as 1. communication instruments, 2. perceptual units, 3. value enhancers and, last but not least, 4. relationships.
Destination brands can thus represent the relationship between destination image and the self-image of visitors on the one hand and the relationship between brand and consumers on the other - precisely where the needs of the guests, the symbolic values and the functional attributes of the brand coincide (Miligan 1995).Ultimately, this always serves to influence the choice of destination (Morgan & Pritchard 1999).
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What quantitative techniques and measures can be used to evaluate the relationships between parents and their adult children?
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Dear Mrs. Griffiths,
great question, I recommend a recently published article by Zhou et al. which deeply examined the link between parent-child, teacher-student and student-student relationships with adolescents' Internet addiction.
Zhou, K., Zhu, X., & Chen, B. B. (2024). Understanding the link between social relationships and adolescent Internet addiction: Perspectives from two approaches to well-being. Computers in Human Behavior, 151, 107995.
I think that similar findings can be examined in the case of social media usage. In case that child is excessively using social media platforms. Conversely, I don't know about the study which is exploring that effect.
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I am completing my thesis on the potential moderating effect of parent social media use frequency on parent-child communication and family functioning. Literature has indicated relationships between all variables however my correlation matrix does not show any significant correlations.
However, upon running my moderation analysis in SPSS with the Process macro I have found no significant interaction effect but there is a significant effect between social media use frequency (moderator) and family functioning (DV).
Can I confirm my study found a relationship between social media use frequency and family functioning despite the correlation matrix not supporting the findings of the moderation?
Despite my hypothesis that my moderator would be significant being unsupported it would still be great for my study if social media use frequency was shown to be related to family functioning. Past studies had not measured one specific aspect of social media as I have here so this could be an opportunity for future research recommendations.
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Can you elaborate more on your results? Did I understand it correctly that:
a) you had no hypothesis for the relationship of social media use frequency and family functioning
b) there were no significant zero order correlations
c) social media use was a significant predictor, when the other predictor as well as the interaction term were present?
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I am researching the relationship between social media and the sexual behaviour of secondary school students. One of my null hypotheses is that "There is no moderating impact of sex in the relationship between social media and sexual behaviour"
What method of analysis can I use? and how do I go about it
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The Fisher-Z statistical method can be used to study the null hypothesis you proposed. In this case, your research focuses on the relationship between social media use and sexual behavior among secondary school students, with a particular consideration of gender as a potential moderating variable. The Fisher-Z method can help you assess differences in the correlation between social media use and sexual behavior across different gender groups.
First, you need to calculate the correlation coefficients between social media use and sexual behavior separately for male and female student groups. This can be done through correlation analysis, such as using Pearson's correlation coefficient.
Then, use the Fisher-Z transformation to convert these correlation coefficients into Z-scores. This step can be completed using the formula previously mentioned, which involves applying the following transformation to each correlation coefficient:Z=1/2ln[(1+r)/(1-r)]
Here, r represents the correlation coefficient, and ln is the natural logarithm.
After obtaining the Z-scores for the two gender groups, you can use a statistical test (like a z-test) to compare these scores. This can help you determine whether the impact of social media on sexual behavior shows a significant difference between genders. If the test results show a significant difference between the two Z-scores, it suggests that gender moderates the relationship between social media use and sexual behavior. If there is no significant difference, it supports your null hypothesis that gender does not moderate this relationship.
So,the Fisher-Z statistical method is suitable for your research needs, as it can help determine whether gender plays a moderating role in the relationship between social media use and sexual behavior.
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please
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r gooion. In fact, it has been a prominent issue to discus. As far as the use of ICT is concerned, I can say that the routine of writing abbreviations and so called English more typically on social media, there should be personal involvement and concern to write grammatical statements. Otherwise, it is hard to control over Because as it takes long in this way, it will automatically interfere linguistic field. Donard Bikorimana Anas Almatarneh Imad Alahmad
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Nowadays, humans from toddlers to the elderly have a high level of existence to feel validated on the stage of life, especially on social media. if we relate this statement to real life, there are boundaries that must be obeyed, where to give assertiveness that social media has a negative effect on those who do not comply with the rules.
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Murtadha Shukur thank you for your opinion, I am more open to the insight of moving from the real world to the virtual world, please allow suggestions and input regarding the issue.
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In your opinion, will the development of artificial intelligence applications be associated mainly with opportunities, positive aspects, or rather threats, negative aspects?
Recently, accelerated technological progress is being made, including the development of generative artificial intelligence technology. The aforementioned technological progress made in the improvement and implementation of ICT information technologies, including the development of applications of tools based on generative artificial intelligence is becoming a symptom of the transition of civilization to the next technological revolution, i.e. the transition from the phase of development of technologies typical of Industry 4.0 to Industry 5.0. Generative artificial intelligence technologies are finding more and more new applications by combining them with previously developed technologies, i.e. Big Data Analytics, Data Science, Cloud Computing, Personal and Industrial Internet of Things, Business Intelligence, Autonomous Robots, Horizontal and Vertical Data System Integration, Multi-Criteria Simulation Models, Digital Twins, Additive Manufacturing, Blockchain, Smart Technologies, Cyber Security Instruments, Virtual and Augmented Reality and other Advanced Data Mining technologies. In addition to this, the rapid development of generative AI-based tools available on the Internet is due to the fact that more and more companies, enterprises and institutions are creating their chatbots, which have been taught specific skills previously performed only by humans. In the process of deep learning, which uses artificial neural network technologies modeled on human neurons, the created chatbots or other tools based on generative AI are increasingly taking over from humans to perform specific tasks or improve their performance. The main factor in the growing scale of applications of various tools based on generative AI in various spheres of business activities of companies and enterprises is due to the great opportunities to automate complex, multi-criteria, organizationally advanced processes and reduce the operating costs of carrying them out with the use of AI technologies. On the other hand, certain risks may be associated with the application of AI generative technology in business entities, financial and public institutions. Among the potential risks are the replacement of people in various jobs by autonomous robots equipped with generative AI technology, the increase in the scale of cybercrime carried out with the use of AI, the increase in the scale of disinformation and generation of fake news on online social media through the generation of crafted photos, texts, videos, graphics presenting fictional content, non-existent events, based on statements and theses that are not supported by facts and created with the use of tools available on the Internet, applications equipped with generative AI technologies.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, will the development of artificial intelligence applications be associated mainly with opportunities, positive aspects, or rather threats, negative aspects?
Will there be mainly opportunities or rather threats associated with the development of artificial intelligence applications?
I am conducting research in this area. Particularly relevant issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion about it?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Well, it has positive and negative aspects. For the positives, the AI app can improve efficiencies and effectiveness in the delivery of goods and services in general. Specific tasks that seem difficult for humans to complete may be assigned AIs and can be delivered accurately.
On the negative, robots or humanoids that may be developed that can have independent judgment could be "misprogrammed" or biasedly trained or poorly trained and this could lead to misdiagnosis and mistreatment in the medical fields and other related areas of health as well as other sectors of the economy.
Thus, both positives and negatives are expected of AI applications.
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What role do social media platforms play in learning English as a foreign language?
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Thank you very much.
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#Social Media
#Mental health
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Social media affects teenagers'/students' mental health negatively by limiting direct contact with peers, encouraging constant comparison online, and leading to low self-esteem, anxiety, and depression.
. Additionally, peer pressure has been found to significantly predict adolescent mobile social media addiction, which can have negative effects on mental health (1)
The influence of social media on youth mental health is shaped by complex factors, and adolescents are especially susceptible to social pressures and peer opinions (2).
Research findings suggest that while social media and peer pressure can have detrimental effects on students' mental health, the issue is complex and influenced by various factors. It's essential to provide support and guidance to help students navigate these influences and promote positive mental well-being (3)
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What are the possible problem statements for this?
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What are the uses of social media in the food sector (selling, data gathering, promotion...etc)? What are the most suitable platforms for this (tweet, facebook...)? What are the social media marketing strategies most adopted during ...(animations, rational, ethical mesaages....etc)? How is the effectiveness of campaigns estimated (Quali and quanti....and so on)?
and many other relevant research questions may arise.
it depend on your research field, personall interest, and abilities.
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I have a public policy theory assignment on intersectionality and public policy. We are expected before the Tuesday night deadlne to address the connection between intersectionality and woke, as exemplified by the case of Britney Grier - essential reading attached - and how this fits in with woke and its opponents such as Trump, alt-right and Musk through social media. I'm struggling with getting 200 words or so togetheron this.So on the off-chance yoy have time I attach the reading and ask for ideas, angles etc.
Thanks
Liam
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Trump and Musk, often critiqued for dismissive stances, have been skeptical of woke culture. They argue against perceived excesses, expressing concerns about cancel culture stifling free expression. Meanwhile, proponents of intersectionality argue it's crucial for understanding and addressing systemic inequalities.
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A system that thinks it has achieved representation as a process of chosen sentience without going through an entire process of complete choice, could that become a problem with AI?
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T. H. Ray fix maths, fix physics, fix society. If done in that order it will work however most (including scientists) do not know higher level maths and physics are currently axiomatic. It will be difficult to fix anything while people are able to "invent their own truth" rather than properly understanding the strengths and limitations of binary, 0-based logic and how it links to relativity (specifically 3R). We should not jump to judgement of others without knowing the full detail of their situation. XAI shoud help people understand. We must ultimately build a global, educated, society, devoid of current power structures. I can see the grass roots emerging but they need the weight of science behind them.
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I use Accessibility Usabaility Scale on Level of Accessibility and Usability for each communication channels (television, radio, social media, government websites, and print media) in obtaining information about the provisions and benefits of the Expanded Solo Parent Welfare Act. Hence, I also useto measure the level of the level of awareness of solo parents regarding the provisions and benefits of the Expanded Solo Parent Welfare Ac using unipolar 5point likert scale. But in correlation of the two how to analyze the correlational or relationship of the two levels? level of accessiblity/usability and level of awareness?
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I am doing research on ghosting in interpersonal relationships on social media how long does it take to get the full pdf after a request has been sent.
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response time depends on each author, sometimes it is faster to use sci-hub
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How should the architecture of an effective computerised platform for detecting fakenews and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies be designed?
The scale of the development of disinformation on the Internet including, among other things, fakenews has been growing in recent years mainly in social media. Disinformation is mainly developing on social media sites that are popular among young people, children and teenagers. The growing scale of disinformation is particularly socially damaging in view of the key objective of its pursuit by cybercriminals and certain organisations using, for example, the technique of publishing posts and banners using fake profiles of fictitious Internet users containing fakenews. The aim is to try to influence public opinion in society, to shape the general social awareness of citizens, to influence the assessment of the activities of specific policies of the government, national and/or international organisations, public or other institutions, to influence the ratings, credibility, reputation, recognition of specific institutions, companies, enterprises, their product and service offerings, individuals, etc., to influence the results of parliamentary, presidential and other elections, etc. In addition to this, the scale of cybercriminal activity and the improvement of cyber security techniques have also been growing in parallel on the Internet in recent years. Therefore, as part of improving techniques to reduce the scale of disinformation spread deliberately by specific national and/or international organisations, computerised platforms are being built to detect fake news and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies. Since cybercriminals and organisations generating disinformation use new Industry 4.0 technologies in the creation of fake profiles on popular social networks, new information technologies, Industry 4.0, including but not limited to Big Data Analytics, artificial intelligence, deep learning, machine learning, etc., should also be used to reduce the scale of such harmful activities to citizens.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should the architecture of an effective computerised platform for detecting factoids and other forms of disinformation on the Internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies be designed?
And what do you think about it?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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A multi-faceted computerised platform for detecting fake news and other disinformation online, especially one that uses Big Data Analytics, AI, and other Industry 4.0 technologies, is needed. Here's a platform architectural outline and my thoughts on major components and strategies:
Components of architecture
1. Data Collection and Aggregation: - Collect data from internet sources, such as social media platforms, using web crawlers and APIs.
Use Big Data technologies like Hadoop or Spark to aggregate and store enormous amounts of data.
2. Data Preprocessing and Normalization: - Remove noise and normalise data format.
NLP can parse and interpret text.
3. Feature Extraction: - Use NLP to extract sentiment, subjectivity, writing style, and other linguistic traits.
Analyse metadata (source credibility, user profiles, network patterns).
4. Use AI and machine learning algorithms (e.g., SVM, Random Forest, neural networks) to categorise content as real or deceptive.
Transformers, BERT, and other deep learning methods can help you comprehend language context and nuances.
5. Real-Time Analysis: Apply a stream processing system for real-time data analysis.
Complex event processing engines can identify patterns and anomalies in data.
6. Verify and Fact-Check: - Use fact-checking APIs and databases to verify and cross-check information.
- Create a semi-automated system where specialists verify flagged content.
7. Feedback Mechanism: - Establish a feedback loop to enhance detection models based on current misinformation trends and techniques.
8. User Interface and Reporting: - Create an easy-to-use interface for monitoring and reporting.
Visualise trends and hazards with dashboards.
9. Security and Privacy: - Protect platform and user data with strong security measures.
- Follow ethics and privacy laws.
Personal Opinion:
To comprehend and counteract disinformation, computer science, journalism, psychology, and political science must be combined.
**AI Limitations** AI is powerful but not perfect. Overusing AI might cause biases and inaccuracies. Human monitoring is crucial.
Ethics: Disinformation detection must be balanced with free expression and privacy.
- Adaptable and evolving Disinformation methods change, therefore the platform must adapt.
In conclusion:
In conclusion, developing a disinformation detection tool in the digital age is difficult but essential. It demands combining modern technologies with human expertise and ethics. The fight against fake news and disinformation requires cross-disciplinary and sectoral coordination.
References for designing and developing a computerised platform to detect fake news and disinformation utilising Big Data Analytics, AI, and Industry 4.0 technologies:
1. "Big Data Analytics in Cybersecurity" by Onur Savas and Julia Deng. This book discusses big data analytics in cybersecurity, particularly disinformation detection.
2. "Deep Learning for Natural Language Processing: Creating Neural Networks with Python" by Palash Goyal and Sumit Pandey. Deep learning models are essential for false news identification, and this book covers their use in textual data processing and understanding.
3. Clarence Chio and David Freeman's "Machine Learning and Security: Protecting Systems with Data and Algorithms". This book discusses machine learning and security, providing ideas for disinformation detection.
4. "Social Media Data Mining and Analytics" by Gabor Szabo and Gungor Polatkan. Social media data mining is crucial to disinformation analysis and detection.
5. "Data-Driven Security: Analysis, Visualisation and Dashboards" by Jay Jacobs and Bob Rudis. Data security, including visualisation and analysis for a misinformation platform, is covered in this book.
6. "Cybersecurity – Attack and Defence Strategies: Infrastructure security with Red Team and Blue Team tactics" by Yuri Diogenes and Erdal Ozkaya. It provides cybersecurity strategies for disinformation detection platform development.
7. **"Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies" by Steven Finlay.** This guide explains how AI and ML in business can be used for cybersecurity and disinformation.
These references from academic databases or libraries provide a foundation in the technologies and methods needed to develop an effective Internet disinformation detection platform. Big data analytics, AI, cybersecurity, and social media analytics are covered.
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We are currently conducting a qualitative research on the effects of influencer marketing on purchase behavior. However, before that, our panel has suggested to conduct a pre-survey to (1) identify the products endorsed by influencer marketing that students mostly purchase, and (2)the social media platforms that students purchase influencer-endorsed products. The purpose of the pre-survey will help us narrow down our scope based on the results of the pre-survey by focusing on a specific social media platform and product.
Our question is how can we determine the sample size?
Thank you in advance!
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RV Krejcie and DW Morgan,Educational and Psychological Measurement, 1970,30:607-610, gave a table to choose sample size. Also MA Hertzog ,Research in zNursing and Health,2008,31:180-191. Suggested that sample sizes should be higher that 40. REGARDS.
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There has not been any intentional probe on the role of youth and social media in reforming Nigeria’s democratic process whereas recent involvement of the Nigerian youth in socio-political matters and their engagement on different social media has shown the tendency to impact the democratic process and engineer changes that could herald reforms.
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Good question
1. Strengthening confidence in the political process
2. Political and constitutional reforms
3. Change the laws
4. Expressing freedom of opinion and expression
5. Eliminate poverty and unemployment
6. Encouraging investment
And other.....
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I am currently a senior high school student, and I consider myself a beginner in this field. We are tasked to conduct a qualitative study about the effects of influencer marketing on purchase behavior. I am interested to know about purchase behavior for our research project in marketing. Is there any literature that may help? May I ask what is purchase behavior and how does it differ from consumer behavior?
Thank you in advance!
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Purchase behavior, often referred to as consumer buying behavior, is the process through which individuals or organizations make decisions to acquire products or services. It encompasses a complex interplay of psychological, social, and economic factors that influence the choices people make when buying goods or services.
At its core, purchase behavior is driven by the needs and desires of consumers. These needs can be functional, such as the need for food or shelter, or emotional, such as the desire for luxury or status. The process begins with problem recognition, where a consumer identifies a need or a problem that can be solved through a purchase.
Various factors shape purchase behavior, including personal factors like age, income, and lifestyle, which influence what products or services an individual is likely to consider. Social factors, such as culture, family, and reference groups, also play a significant role. Furthermore, psychological factors like perception, motivation, and attitudes contribute to the decision-making process.
Economic factors, such as price, income, and availability, are critical determinants in the final purchase choice. Marketers and businesses carefully study purchase behavior to understand their target audience and tailor marketing strategies and products accordingly. Ultimately, purchase behavior is a dynamic and multifaceted field that explores the intricate processes behind consumer decision-making and its impact on the market.
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Hello everyone. I have question about obtaining data from Internet.
In my research I will analyze comments from websites and social media platforms. And I am searching for applications/apps/technologies other tools to download comments from Internet to my computer.
Do you know any tools/apps to download comments for free?
There is around 10.000 comments and if I would copy/paste one by one it would take me a lot of time. I want to obtain data quickly.
Do you have any suggestions for me?
Thank you so much for help.
Regards, Nejc
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Publish your paper for free
_____________________
Dear Researchers and postgraduate students
MESOPOTAMIAN JOURNAL OF BIG DATA (MJBD) issued by Mesopotamian Academic Press, welcomes the original research articles, short papers, long papers, review papers for the publication in the next issue the journal doesn’t requires any publication fee or article processing charge and all papers are published for free
Journal info.
1 -Publication fee: free
2- Frequency: 1 issues per year
3- Subject: computer science, Big data, Parallel Processing, Parallel Computing and any related fields
4- ISSN: 2958-6453
5- Published by: Mesopotamian Academic Press.
6- Contact: email: [email protected]
Managing Editor: Dr. Ahmed Ali
The journal indexed in
1- Croosref
2- DOAJ
3- Google scholar
4- Research gate
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How much of a social media following do I need to become a desirable debate opponent? Here is my current social
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Hello Alexander, depending on how you read it, your question can be understood in a reductionist way.
In my opinion, the attribution by others in the scientific community of being a valued dialogue partner is less about the criterion of quantity and more about that of quality. Mass alone means little or nothing. Decisive factors are: What attitude you take as a researcher to scientific questions, what new scientific knowledge you offer, what weighing arguments you take into account and, last but not least, what surprising problem-solving perspectives you articulate. Much else - like pure click numbers - remains rather on the surface of a serious scientific debate.
Best, Christian
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In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
On the one hand, online social media, which has been developing for 2 decades now, is making a significant contribution to the development of remote online communication, social remote communication, open communication of sending content created on the fly, sending information to friends, promoting oneself and/or specific product or service offers, informal data transfer, expressing one's emotions in the information sent, including positive as well as negative emotions, and so on. In this way, online social media on a local, regional or global scale have also contributed to the objectification of information in the context of news reported in official, meanstream media. In this regard, online social media are fulfilling their role of social and objectification of media information both in countries with democratic power systems and in non-democratic, dictatorial power systems as long as they are not blocked and restricted by the power system.
On the other hand, there has long been a lot of fake news and disinformation in online social media, the transmission and forwarding by more Internet users of memes, posts, videos, banners, comments containing unverified, unconfirmed content, data and information. In addition, new ICT and Industry 4.0 information technologies, new versions of graphic and other applications are being used to generate disinformation. Also, cyber criminals and hackers breaking into social media user profiles, stealing sensitive data of social media users are also using new technologies. Recently, machine learning, deep learning and artificial intelligence technologies have also been used by cybercriminals and untrustworthy social media users to generate disinformation. As part of this, cybercriminals, hackers and unethical Internet users generating disinformation take advantage of security gaps in information systems, exploit diagnosed inadequacies in cyber security tools operating in the aforementioned social media sites. Thus, it is necessary to conduct relentless monitoring of information traffic on these portals, to identify cybercriminal, hacking, fake news and disinformation generating activities, and to improve cyber security systems, instruments, tools as efficiently and quickly as possible.
In view of the above, what prevails in recent times? Do new technologies rather help cyber criminals, hackers and foul Internet users generating disinformation, or do they rather help the development of social media portals and the improvement of cyber security systems?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
Does the development of online media increase the issue of objectivity and transparency of information or rather generate more disinformation?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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Musliyu Raufu: You are correct that there is no true impartiality, that is not possible with many events and issues which are matters of opinion rather than fact. What has happened in recent years is that the editors of public media have been usurped by the owners and opinions expressed are less democratic. None of the western media have criticised the sham that is climate change propaganda, wonder why?
Any censorship of the internet needs to be done carefully: yes make obscene or violence support illegal, but do not allow the Fat Controller to stop debate.
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Is social media use a predictor of poor academic performance? According to Pew Research (2021), “adults ages 18 to 29 say they ever use any social media sites, which is similar to the share of those ages 30 to 49.” Specifically, college-aged students self-reported using Instagram, Snapchat, and TikTok over other platforms. The majority self-reported using these services daily, often several times a day. One particular study used artificial intelligence to analyze student profiles as a predictor for success. They found students who remained engaged showed a higher predictor for continuous success, whereas at-risk students were difficult to course-correct, even with over a month remaining before their final marks. With social media use growing exponentially during and following the COVID-19 pandemic, can we correlate this growth as a predictor for student success in the classroom?
Auxier, B. Anderson, M. (2021). “Social Media Use in 2021”. Pew Research Center. Retrieved from: https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/
Subirats L, Palacios Corral A, Pe´rez-Ruiz S, Fort S, Sacha G-M (2023) Temporal analysis of academic performance in higher education before, during and after COVID-19 confinement using artificial intelligence. PLoS ONE 18(2): e0282306. https://doi.org/10.1371/journal.pone.0282306
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It is quite obvious that wasting time on social media steals that time from studying (pre-graduates) or researching (post-graduates). Interviews with teenagers in Norway show that once the fall for the temptation to check IM/SM during classes, "it is really difficult to return attention to the class" (Sorry, I don't have the reference for this particular research, but I think there should be tens of such surveys "out there" from many different countries). It is not only the time wasted directly with SM/IM, there is also the problem of diversion of attention from research/studies to whatever is happening in the SM/IM, anticipation of what others will post, how to react, etc.
Everyday use of SM/IM is not only a predictor for poor academic performance, is it a direct cause.
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I would like to find out if there is any impact of social media on the creation of entrepreneurial opportunity. I have two groups (Online business entrpreneurs and traditional business entrepreneurs) and 20 statements in total that I have measured using 5 point likert scale (strongly agree, agree, neutral, disagree, strongly disagree and Not applicable(suggested by my Supervisor)). Those who run traditional business chose "not applicable" for 8 items and I have ignored those 8 items and proceed with rest of the 12 items for further analysis e.g. Mann-Whitney U test, Kruskal-Walis test and correlation analysis.
Now I have 3 questions:
1. Is it okay to ignore those items having "not applicable"?
2. I have tried exploratory factor analysis for both groups and got 3 factors for each, however, one factor among them has only two items under it. Is two items under a factor acceptable?
3. What other tests or analysis I can do other than the above mentioned tests?
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@David Thank you for your response. I tried factor analysis according to your suggestion and found out 3 factors. One factor having 5 items but having both positive and negative statements. For example:
1. It is easier to spread information via socia media.
2. It is easier to promote products via social media.
3. It is less costly to run business via social media.
4. It is tough to protect customers personal information due to cyber-attacks.
I thought of naming the factor as "Perceived advantages of Social Media", however, the 4th item seems negative to me. Is there any suggestion from your side to solve this??
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lol ~ when they try, realize they don't intend to enforce their hypocrisy beyond certain individuals #RIOT @WAR (Fun Fun Fun til daddy takes the Zeus-Herd away...)
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i tell you a story, i'll try and make it scientific...
i met Asa Hutchinson, Former arkansas governor in his office a number of years ago. he barely shook my hand.
he is a disgrace to immigration, and bad for women in politics.
just saying
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if blood can't describe the solution to the problem, is science qualified to comment?
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Dear Doctor
"ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. ResearchGate has over 5 million members in 193 countries. It was designed by and specifically for scientists, to meet their diverse needs, and is touted as Facebook for academics. Membership is free but is restricted to working scientists and academics (you need an academic institution email address). The major disciplines represented in ResearchGate are biology, medicine, computer science, physics, and chemistry.
Researchers like using research gate to be found, find others and share their work. This is one place that your work will definitely be found by potential collaborators and researchers that would like to cite your work."
So on my own view yes ResearchGate.net (Social Media) have a legal right to censor to let all rights be preserved.
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If ChatGPT is merged into search engines developed by internet technology companies, will search results be shaped by algorithms to a greater extent than before, and what risks might be involved?
Leading Internet technology companies that also have and are developing search engines in their range of Internet information services are working on developing technological solutions to implement ChatGPT-type artificial intelligence into these search engines. Currently, there are discussions and considerations about the social and ethical implications of such a potential combination of these technologies and offering this solution in open access on the Internet. The considerations relate to the possible level of risk of manipulation of the information message in the new media, the potential disinformation resulting from a specific algorithm model, the disinformation affecting the overall social consciousness of globalised societies of citizens, the possibility of a planned shaping of public opinion, etc. This raises another issue for consideration concerning the legitimacy of creating a control institution that will carry out ongoing monitoring of the level of objectivity, independence, ethics, etc. of the algorithms used as part of the technological solutions involving the implementation of artificial intelligence of the ChatGPT type in Internet search engines, including those search engines that top the rankings of Internet users' use of online tools that facilitate increasingly precise and efficient searches for specific information on the Internet. Therefore, if, however, such a system of institutional control on the part of the state is not established, if this kind of control system involving companies developing such technological solutions on the Internet does not function effectively and/or does not keep up with the technological progress that is taking place, there may be serious negative consequences in the form of an increase in the scale of disinformation realised in the new Internet media. How important this may be in the future is evident from what is currently happening in terms of the social media portal TikTok. On the one hand, it has been the fastest growing new social medium in recent months, with more than 1 billion users worldwide. On the other hand, an increasing number of countries are imposing restrictions or bans on the use of TikTok on computers, laptops, smartphones etc. used for professional purposes by employees of public institutions and/or commercial entities. It cannot be ruled out that new types of social media will emerge in the future, in which the above-mentioned technological solutions involving the implementation of ChatGPT-type artificial intelligence into online search engines will find application. Search engines that may be designed to be operated by Internet users on the basis of intuitive feedback and correlation on the basis of automated profiling of the search engine to a specific user or on the basis of multi-option, multi-criteria search controlled by the Internet user for specific, precisely searched information and/or data. New opportunities may arise when the artificial intelligence implemented in a search engine is applied to multi-criteria search for specific content, publications, persons, companies, institutions, etc. on social media sites and/or on web-based multi-publication indexing sites, web-based knowledge bases.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If ChatGPT is merged into search engines developed by online technology companies, will search results be shaped by algorithms to a greater extent than before, and what risks might be associated with this?
What is your opinion on the subject?
What do you think about this topic?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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If tools such as ChatGPT, after the necessary update and adaptation to current Internet technologies, are combined with search engines developed by Internet technology companies, search results can be shaped by certain complex algorithms, by generative artificial intelligence learned to use and improve complex models for advanced intelligent search of precisely defined topics, intelligent search systems based on artificial neural networks and deep learning. If such solutions are created, it may involve the risk of deliberate shaping of algorithms of advanced Internet search systems, which may generate the risk of interference and influence of Internet search engine technology companies on search results and thus shaping the general social awareness of citizens on specific topics.
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Please 🙏 your valuable information on date you can see through social media,paper and TV that so thousands of fishes are dead in the water of the Ganges and floating.someone told me that your question absurd and RG community rejected.My dear I ask when I see with my own eyes and every week my readers and fan following highest.please search Google and see that dead fishes floating on water.Also i told these water may be filtered but already chemical action happened and it was requested please share your valuable opinions but please don't miss me and Watching Google where so many posted through social media.
Dr saroj Kumar khan Kolkata
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Chemical reactions inside water main cause due to heavy saditation, sanitation of garbage,industrial pollutants in this rainy season here.overflloded water with huge pollutants mixed with water.
This research is too lengthy and answer will take huge pages f
Gradually I will reply but research ongoing.
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To increase your audience in most search engines, you need to focus on search engine optimization (SEO). Here are some key strategies to help improve your website's visibility:
1. Keyword Research: Identify relevant keywords and phrases that your target audience is likely to use when searching for your content.
2. High-Quality Content: Create valuable, informative, and engaging content that addresses the needs and interests of your audience. High-quality content is more likely to rank well in search results.
3. On-Page SEO: Optimize your website's on-page elements, including title tags, meta descriptions, headers, and image alt text, to incorporate your chosen keywords.
4. Mobile Optimization: Ensure your website is mobile-friendly and responsive, as mobile-friendliness is a ranking factor for search engines.
5. Page Speed: Improve your website's loading speed to enhance user experience and boost search engine rankings.
6. Quality Backlinks: Build high-quality backlinks from reputable websites in your niche. Backlinks from authoritative sources can improve your site's authority and ranking.
7. Social Media Presence: Promote your content on social media platforms to increase visibility and encourage sharing.
8. User Experience: Create a user-friendly website with easy navigation and a clear site structure.
9. Regular Updates: Keep your content fresh by regularly updating and adding new information.
10. Monitoring and Analytics: Use tools like Google Analytics to track your website's performance, monitor keyword rankings, and make data-driven improvements.
11. Local SEO: If your business serves a local audience, optimize for local search by claiming and optimizing your Google My Business listing and ensuring consistent NAP (Name, Address, Phone number) information across the web.
12. Schema Markup: Implement schema markup to provide search engines with structured data about your content, making it easier for them to understand and display your information in rich snippets.
Remember that SEO is an ongoing process, and it may take time to see significant improvements in your search engine rankings. Be patient and consistent in your efforts, and consider seeking the assistance of an SEO expert if needed.
What do you think?
And what can anyone add useful advices to get into this point?
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All your suggestions relate to SEO for normal webpages, but articles are placed in portals or journals that feed into google scholar etc? You cannot use these SEO techniques on the adacemic journal website? The best thing is probably to use academic social media groups and place links to your article there. Linkedin, facebook maybe reddit. H-net etc. But you are not maximing your visitor numbers, you must target academics in your field without violating marketing laws. So you must NOT spam target everyone, but only those most likely to give you what you want, a citation.
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Statistics about number of Facebook and/or social media users per country since 2004
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thank you Dr Radoslaw
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This second section of the literature review seeks to discuss the issue of the privacy paradox that is affecting students when it comes to balancing their concern and behaviour. Are they negotiating the privacy issues according to the theory by Sandra Petronio Communication Privacy Management or the Privacy Paradox model of weighing benefits vs risks? 
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Students are addressing information privacy risks on social media through various approaches, including:
  1. Privacy Settings: Adjusting privacy settings on social media platforms to control who can view their posts, profile information, and contact details.
  2. Selective Sharing: Being cautious about what they share online, limiting personal and sensitive information that could be exploited.
  3. Limited Audience: Sharing content only with close friends or trusted individuals rather than making posts public.
  4. Content Moderation: Regularly reviewing and deleting older posts that may reveal too much personal information over time.
  5. Avoiding Geotags: Disabling location tracking and avoiding geotags to prevent revealing their physical whereabouts.
  6. Careful Acceptance: Being cautious when accepting friend requests or connections, ensuring they know the person in real life or have a valid reason.
  7. Creating Alias Accounts: Using alternate or pseudonymous accounts to engage online while keeping their real identity protected.
  8. Educating Themselves: Staying informed about privacy settings and potential risks associated with different social media platforms.
  9. Two-Factor Authentication: Implementing two-factor authentication for an extra layer of security on their social media accounts.
  10. Regular Audits: Periodically reviewing and updating privacy settings and online content to maintain control over their digital footprint.
  11. Privacy Tools: Utilizing third-party privacy tools and browser extensions that enhance online privacy and block tracking.
  12. Awareness Campaigns: Participating in or initiating campaigns and discussions on responsible and secure social media usage.
  13. Reporting Suspicious Activity: Reporting any suspicious or unwanted interactions to platform administrators or authorities.
  14. Limiting Personal Details: Minimizing personal details in their profiles, such as birthdates, addresses, and contact information.
  15. Encrypted Messaging: Opting for encrypted messaging apps for private conversations rather than discussing sensitive matters on public posts.
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I am looking for a collaborator familiar with Solomon's four-group analysis to do experiments and write articles together, focusing on analyzing the social media video reception.
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The Solomon four-group design is rarely used. You are probably familiar with it through the early work of Campbell and Stanley, but the conclusion over time is that are very few cases where it is necessary to eliminate real-world threats to validity. Instead, there has been widespread adoption of the pre-post design with control group as adequate in nearly all cases where one might consider the Solomon four-group design instead.
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Research Collaboration Request - Effects of Social Media on Academic Performance and Health
Dear researchers,
I'm Deepak, a Research Scholar specializing in Applied Statistics. My focus is on exploring the effects of social media on academic performance and health.
I humbly request your collaboration on this fascinating topic. Together, we can combine our knowledge and resources to make a significant impact.
If you're interested, please kindly reach out to me at [email protected] or call/WhatsApp me at +91 7008978993. I would greatly appreciate the opportunity to discuss collaboration opportunities with you.
Thank you for considering my request. Let's work together to uncover the secrets of social media's impact!
Best regards and gratitude,
Deepak
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add me
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Artificial Intelligence (AI) is revolutionizing the way businesses approach social media marketing. As the world becomes more digitally connected, the vast amount of data generated by social media platforms poses both challenges and opportunities for marketers.
This is where AI steps in, providing invaluable insights, enhancing customer engagement, and optimizing social media strategies like never before.
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Artificial Intelligence (AI) has a significant impact on the social media market, transforming how users interact with platforms, how companies engage with their audiences, and how content is created, curated, and distributed. Here's how AI is related to the social media market:
  1. Personalized Content: AI algorithms analyze user preferences, behaviors, and past interactions to deliver personalized content feeds. This enhances user experience and keeps them engaged on the platform.
  2. Content Recommendation: AI-powered recommendation systems suggest relevant content to users, increasing the time spent on social media platforms and driving user engagement. These recommendations are based on factors like user interests, demographics, and browsing history.
  3. Chatbots and Customer Service: Social media platforms and businesses use AI-powered chatbots to provide instant responses to user queries, addressing customer service needs efficiently. This improves user satisfaction and enhances brand-customer interactions.
  4. Content Creation and Curation: AI tools can generate and curate content, from suggesting captions and hashtags to creating images and videos. This streamlines content creation for users and helps maintain a consistent posting schedule for businesses.
  5. Sentiment Analysis: AI can analyze user sentiment and emotions expressed in posts, comments, and messages. This enables businesses to gauge public opinion about their brand or products and adjust their strategies accordingly.
  6. Social Listening: AI-driven social listening tools monitor conversations and discussions across social media platforms, helping companies gather insights about customer preferences, industry trends, and competitor activities.
  7. Ad Targeting: AI analyzes user data to create detailed profiles, allowing advertisers to target specific audiences with relevant ads. This improves the effectiveness of advertising campaigns and maximizes return on investment (ROI).
  8. Fake News and Misinformation Detection: AI algorithms can detect and flag fake news, misleading content, and online scams, helping to maintain the integrity of information shared on social media platforms.
  9. Trend Prediction: AI can analyze patterns and trends in user behavior and content consumption to predict emerging trends and topics. This helps content creators and businesses stay ahead of the curve.
  10. Influencer Marketing: AI tools identify and analyze potential influencers based on their content, engagement rates, and audience demographics. This assists brands in finding the right influencers to collaborate with.
  11. Content Moderation: AI helps identify and filter out inappropriate, offensive, or spammy content, maintaining a safe and positive user experience on social media platforms.
  12. Data Analytics: AI-powered analytics tools provide detailed insights into user behavior, engagement metrics, and content performance. This data helps businesses refine their strategies and make informed decisions.
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Do you believe it is important for researchers to ensure effective communication of their research with society? In our country, we often complain about the lack of support from the public, but are we as researchers truly communicating effectively with society?
I also take this opportunity to invite you to explore my proposal for scientific dissemination on Instagram.
I'm not sure about your country, but here in Brazil, 95% of funding comes from public sources. That's why I consider it important for the population to know about the developments that have been taking place.
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The role of social media varies depending on the level of development of society and the politics of government، unfortunately، it is rarely used in the newly developed society. So far، it is only relying on the software. The teacher is still learning. In general، so far، teachers do not have the necessary scientific expertise on the use of social networks for education purposes.
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How you confirm that your account safety in social media or other app.
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I conducted an online survey for my research and the initial invitation to participants through email were 290. However, the survey link was also distributed through website and other means of social media (Whatsapp, snowballing, etc).
The total responses was almost double from the initial number of target participants, although the completed responses to be analysed are almost 60% from the target number.
How do I justify the response rate? Or should I analyse the completed responses with meaningful answers and ignore the response rate?
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Nonresponse may bias results because the subpopulation of respondents may be quite different from the population in general. Substituting new respondents for nonrespondents can just make this worse. In addition, your different sources may also represent different populations. You might compare respondent results for different sources to see if there are big differences there.
For nonresponse, you could weight according to response "propensity," though that may be difficult.
In general, you cannot solve a nonresponse problem by taking other data unless you know there are similar characteristics between the member of the population nonresponding, and the member whose response is substituted, and this is still risky and should not be overused. However, I think such methods as "hot deck" might still be used. But that is not what you are doing.
Best wishes.
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Hi colleagues,
We've been struggling to use only one term in research to refer to that behavior ‘culturally abnormal behavior(s) of such intensity, frequency or duration that the physical safety of the person or others is likely to be placed in serious jeopardy, or behavior which is likely to seriously limit the use of, or result in the person being denied access to, ordinary community facilities (Emerson & Einfeld, 2011). Or yet PB has been defined as ‘socially unacceptable behavior that causes distress, harm or disadvantage to the persons themselves or to other people, and usually requires some intervention’ (Deb et al. 2009). Some researchers (maybe most of the field) use problem behavior. In contrast, others use challenging behavior, and now I'm seeing on social media some practitioners using the term 'interfering behavior.' As I understand, this change comes along with the neurodiversity movement to have a less stigmatizing term for this type of behavior.
In my case, I can use anyone who feels better for the neurodiversity movement and make sense when we operationalize it. But my whole problem is with research. It's tough to do systematic reviews, or any type of review, to fill the introduction for an article without the right keywords. As a field, I think it's necessary to facilitate communication between researchers.
I would love to see your comments on that.
Best
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Depending on the exact situation
There are plenty of alternatives
Sociopathic behaviour.
Criminal behaviour.
Inadequate behaviour
Misguided behaviour.
Strange behaviour
You mean a politically correct term?
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A year ago, I published e philosophical-sociopolitical article (SN Soc Sci 2, 66 (2022). https://doi.org/10.1007/s43545-022-00350-7 which initially received good online attention scores from Altmetric. Thereafter, the scores dropped and are tending to reach 0. Suspecting ideologic censureship, I contacted Altmetric for clarification. Simon Bilevych from support&altmetric.com responded: “If a social media user (e.g Twitter user) deletes a post or deletes their whole profile, we would automatically remove the post(s) from the relevant details pages, which would cause the score for the research output to go down. Unfortunately we are unable to restore these mentions.”
If I understand this correctly, it means that all researchers Altmetric scores will drop to 0 over time, as any researchers post/account will once disappear from the internet (the so far top-rated Twitter even doesn’t exist anymore). So do Altmetric scores have any real value? What is your experience/ opinion?
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Through its use and spread through social networks, Almetrics ratings are meant to raise awareness of the social impact of research. The purpose of using this type of score, whether to determine the academic influence or the impact and social presence, must thus be taken into consideration. The Ametrics are examined to see if the work is well-known among various reader groups rather than for educational evaluation. To split the scope of our scientific activity between peers and society and determine the areas that will have the greatest impact on both groups, the Almetrics scores must be taken into consideration.
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"Unraveling the Dynamics of Social Media Engagement in Islamic Schools: What are the key factors influencing engagement levels on social media platforms for Islamic schools in Indonesia, and how can ethical considerations be integrated to enhance their digital presence without compromising religious values?"
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Social media platforms have grown to be essential conduits for interactions and engagement, with a particular impact in the educational sector. Islamic schools in Indonesia, an immensely diverse nation with the largest Muslim population globally, are no exception. However, the utilization of social media in these educational institutions is influenced by a unique array of factors[^1^].
Key Factors Influencing Social Media Engagement
**Cultural Context**
The Islamic religion profoundly shapes Indonesia's societal values and norms, directly affecting the digital behavior of its adherents[^2^]. Users from Islamic schools are more likely to engage with content resonating with their religious and cultural values, leading to higher levels of interaction.
**Content Relevance**
In the realm of education, the relevance of content plays a crucial role in engagement. For Islamic schools in Indonesia, content that seamlessly integrates religious teachings with academic curriculum sparks interest and boosts interaction[^3^].
**Community Interaction**
The sense of community, common in Islamic schools, can be extended to social media platforms. Higher levels of engagement are observed in platforms that foster a sense of community, encouraging discussions, and peer-to-peer interactions[^4^].
**Platform Accessibility and Usability**
The choice of platform, its ease of use, and accessibility, significantly influence engagement. Platforms that are widely used by the target audience, provide intuitive navigation, and support the local language see increased engagement[^5^].
Ethical Considerations for Social Media Use
**Privacy**
With data security and privacy being paramount, Islamic schools need to ensure that the social media platforms they use comply with the best privacy practices. This includes not sharing personal information of students without consent[^6^].
**Content Integrity**
Content shared should be respectful and truthful, aligning with the Islamic ethos. This fosters a healthy, respectful digital environment and ensures the accurate representation of Islamic teachings[^7^].
**Digital Etiquettes**
Social media platforms should promote digital etiquettes in line with Islamic values, such as respect for others, constructive criticism, and avoiding gossip[^8^].
The digital landscape is a crucial domain for engagement and education for Islamic schools in Indonesia. By recognizing the key factors that influence this engagement and incorporating ethical considerations into their digital strategy, these schools can ensure an effective and value-based online presence.
---
[^1^]: Shams, S. R., & Malik, S. A. (2018). The role of Islamic education in character building of young generation: A case study from secondary level students of Pakistan. Journal of Education and Educational Development, 5(2), 147-161.
[^2^]: Hassan, S. H., Nadzim, S. Z. A., & Shiratuddin, N. (2015). Strategic use of social media for small business based on the AIDA model. Procedia-Social and Behavioral Sciences, 172, 262-269.
[^3^]: Rokhman, F., Hum, M., Syaifudin, A., & Prasetiawan, H. (2020). Islamic education and critical thinking skills. International Journal of Instruction, 13(1), 395-410.
[^4^]: Beldad, A., Hegner, S., & Hoppen, Z. (2019). Generational differences in the effects of social media use on online political participation. Computers in Human Behavior, 96, 221-235.
[^5^]: Chauhan, V., & Singh, G. (2018). An investigation of Facebook, LinkedIn, & Twitter: Usage behavior of students and employees in Indian context. VINE Journal of Information and Knowledge Management Systems.
[^6^]: Erdem, M., & Karaca, F. (2019). The effect of privacy concerns on social media usage: A study on student samples. Journal of Media Critiques [JMC], 5(9).
[^7^]: Abuhashim, A., & Chong, S. (2020). Islamic digital ethics: Concept and principles. Journal of Islamic, Social, Economics and Development, 5(30), 15-27.
[^8^]: Al-Sharqi, L., Hashim, K., & Kutbi, I. (2015). Online business ethics and Islam: A case of Muslim consumers in Malaysia. Journal of Islamic Marketing.
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Good day. I am looking for expert validators to check the suitability of our questionnaire in THE IMPACT OF CUSTOMER EXPERIENCE IN SOCIAL MEDIA MARKETING ON RELATIONSHIP QUALITY TOWARDS PURCHASE INTENTIONS. Hope you can help me. Thank you so much!
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Rameshwar Gupta I already email you on [email protected]. Thank you!
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No, you don't have to become Linked In or some other form
of social media. But you could be better.
Why can't I send messages to people who want my articles?
I wish you would let me. I'll publish my email address and urge them
to write to me ([email protected])
I often want to give them access to a copy of an article I've written, but I can't do it
because I don't have the full text myself and I don't have access to it either. But
I could tell them that if only I could be in contact.
I've found this a BIG frustration in ResearchGate.
You can write me any time with suggestions: you have my email address.
You can call me or text me, too: (240) 423-6651
At first, I just deleted your message to me, but then decided, no, let me give them
one more try.
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Please note that you wrote to the ResearchGate community, not to the RG team.
However, I do not see any problems to contact users who requested full texts. Open the "Requests" area (https://www.researchgate.net/requests), open a request and click on "Reply", then on "Send message only". See also https://help.researchgate.net/hc/en-us/articles/14292986311825-Discovering-and-requesting-research for more explanations.
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I have found some literature in reference to virual world and social media. But I am unable to find direct link of spiral of silence with organizational settings.
I am interested in studying Predictors for spiral of silence in IT industry. I need help with articles providing direct link of spiral if slience with organisational settings in IT industry.
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Studying the "spiral of silence" in the context of organizational settings, particularly in the IT industry, can provide valuable insights into how employees communicate and express their opinions within their workplace. While the spiral of silence theory has primarily been associated with the realm of mass media and public opinion, its application within organizational settings is a relevant and intriguing area of research.
In organizational contexts, the spiral of silence can manifest in various ways. Employees may be hesitant to express their opinions, especially if they perceive that their viewpoints differ from the dominant opinion within the organization or among their colleagues. This reluctance to speak up can be influenced by several predictors or factors. Some potential predictors of the spiral of silence in the IT industry could include:
  1. Organizational Culture: The prevailing culture within the IT company may play a significant role in shaping employees' willingness to voice their opinions. A culture that fosters open communication, feedback, and tolerance for diverse viewpoints is likely to reduce the spiral of silence effect.
  2. Leadership Style: The leadership style of managers and executives in the IT industry can influence how comfortable employees feel in expressing dissenting opinions. Supportive and inclusive leadership may encourage more open communication and reduce the fear of isolation associated with the spiral of silence.
  3. Team Dynamics: The dynamics within teams can also impact the spiral of silence. If employees feel psychologically safe within their teams and believe that their opinions are valued, they are more likely to speak up and participate in discussions.
  4. Fear of Retaliation: In some IT organizations, there might be a fear of negative consequences for expressing dissenting views, such as reprimands, marginalization, or career setbacks. This fear can contribute to the spiral of silence.
  5. Hierarchical Structure: The hierarchical structure of many IT companies may deter employees from voicing opinions that contradict those of higher-ranking individuals.
  6. Workplace Diversity: The presence of diversity within the IT industry, including diverse perspectives, backgrounds, and experiences, can influence how comfortable employees feel in expressing their opinions.
To find articles directly linking the spiral of silence with organizational settings in the IT industry, consider conducting a systematic literature review or exploring academic databases such as Google Scholar, IEEE Xplore, ACM Digital Library, or ScienceDirect. Use relevant keywords such as "spiral of silence," "organizational communication," "IT industry," and "predictors" to narrow down your search.
When reviewing the literature, pay attention to studies that specifically explore communication patterns and the spiral of silence within IT organizations or similar contexts. Look for empirical research that examines the predictors of the spiral of silence and its impact on employee communication and participation in decision-making processes.
Additionally, consider reaching out to academic experts or researchers in the field of organizational communication and IT industry studies, as they may be able to provide valuable insights and suggest relevant articles that align with your research interests.
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When analyzing dialogues being exchanged on Facebook and youtube like social media, it's seen that there are more queries on health-related problems. It is good to research the sociological aspect of why people believe in social media on health-related issues.
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There is a research related to social media and covid-19, as well as different kinds of influence of SM on user's health.
Maybe these will be interesting for you:
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Good day, Everyone!
I'm a second-year college student at De La Salle Araneta College, and we're seeking for both a local (Philippines) and an international validator for our thesis. The validator must possess a master's or doctorate degree in business administration or marketing management. Thank you in advance if you can assist us or refer us to someone who can.
Title: THE IMPACT OF CUSTOMER EXPERIENCE IN SOCIAL MEDIA MARKETING ON RELATIONSHIP QUALITY TOWARDS PURCHASE INTENTIONS
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I graduated with a Masters degree in business Management with specialisation in marketing, from the University of Free State, South Africa. My research focus is specifically on how Generation Z consumers feel about receiving marketing messages on their devices.
I would be more than pleased to assist you
kind regards
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Hello seniors, I am a second-year student, majoring in software engineering, the research direction is social media position inference, the teacher arranged this summer vacation to submit an EI journal, I would like to consult what journals have the fastest review speed of seniors.
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Dear second-year student, it's wonderful to hear about your research direction in social media position inference and your upcoming paper submission. As for journals with the fastest review speed, it's important to note that the review process can vary widely depending on several factors such as the journal's workload, reviewer availability, and the complexity of your research topic. While it's challenging to pinpoint the absolute fastest journals, you can consider exploring reputable journals known for their efficiency in the field of software engineering or social media research. Additionally, it might be beneficial to discuss this with your teacher or academic advisor, who can offer valuable insights and suggest suitable journals based on their experience. Best of luck with your submission, and may your research journey be filled with success and growth.
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Dear Colleagues
I'm writing a single case paper on the metaverse initiative in wearing clothes in social media for a managerial journal. Here are the title and abstract. What do you think? Any comments?
Metaverse interventions in wearing clothes in social media: Transferring solutions from physical clothing vs. transforming digital fashion at the product level.
Summary
Research on metaverse so far has focused specific characteristics of the latter and looking at the consequences from profit-a normative perspective. Surprisingly little is known about how particular metaverse projects inspire transformations in customers' life beyond the explanations in sustainability (fewer emissions) and expressing selves-related outputs. To fill this gap, this paper presents a single case qualitative study that shows how the metaverse fashion project transforms wearing clothes in social media and what else it could do.
Keywords: metaverse project, wearing digital clothes, digital fashion, social media, transferring solutions from physical to digital fashion, transforming wearing clothing in social media
Regards RK
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OK, but answer to my questions about the content of my abstract: "Here are the title and abstract. What do you think? Any comments?"
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Hello,
I hope this message finds you well. I am interested in recruiting research participants through a social media flyer, and I am wondering if you could provide guidance on how to create a flyer that abides by IRB guidelines. Specifically, I am wondering what elements should be included in the flyer and what language is appropriate to use when inviting participants to take part in the study.
Thank you in advance for your help. I appreciate any insights you can provide.
Best regards,
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Hey Kamaleddine, I'm Karthik on this side, so it depends upon many factors on how you design and market the flyer like, audience size and strength, formality, nature, time duration, flexibility, etc.
If you want to further discuss about the same in detail, do message me in ResearchGate and lets connect there
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Please share here the links to your favorite Researchgate projects, be it your own or somebody else's, before they go away on March 31. To get things started, here's the link to my own project
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Some RG projects were archived and can be found at e.g. this link:
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I'm entering the world of asking for participants-specifically English secondary education teachers and classroom support staff (questionnaire for this study) and wondering how successful is using social media in this process? I am thinking sites like LinkedIn and Reddit.
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This is great information. I will note your advice. I completely agree with keeping in mind the ethical guidelines in using this approach. I will be recruiting participants in the very near future!
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What are the Social media and innovation management practices?
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How these two are used in business life by the sectors, companies and consumers (depends on the field of studies)
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What effect does social media have on daily use?
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US health authorities classify social media as a "profound risk" to young people, in particular Dr. Vivek Murthy advises developing age restrictions and safety standards similar to other regulations, such as the minimum age to drive or use certain medications. Excessive use of social media can disrupt important behaviors, including sleep, memory, symptoms of depression, harassment, and anxiety, presents a risk of exposure to harmful content, including depictions of self-harm, "which can normalize such behaviors"
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To answer the research question on social media's impact on teenagers' mental health, researchers may need to conduct a systematic literature review of existing studies that have investigated this topic. The review should consider various factors, such as the frequency and duration of social media use, the types of social media platforms used, the age and gender of the teenagers, and the mental health outcomes assessed. Researchers may also need to consider confounding variables, such as pre-existing mental health conditions, socio-economic status, and family dynamics. It may be necessary to conduct surveys or interviews with teenagers to gain insight into their social media use and its impact on their mental health. The results of the research could be used to develop effective interventions or guidelines for promoting healthy social media use among teenagers and mitigating the negative impact on mental health.
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Their emotions will fall.
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Do you know of any good non-intrusive ways of communicating updates to your research within the ResearchGate site to mimic the project update feature?
This question arises as Researchgate will discontinue the projects feature altogether on March 31, 2023 as announced at
and this decision is apparently final.
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It appears that many people have indeed archived their RG projects, and many archived RG projects can in particular be found at this link:
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I would like to know if Network building via social media creates more entreprenuerial opportunities than traditional business?
Sample size = 112, (Social media based business = 45, Traditional Business = 67)
Entrepreneurial Opportunity has 5 items and Network building has 3 items. How should I proceed? Should I go for one-tailed test?
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If you are going to find differences between two samples, use Student T test.
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In your opinion, why do some trivialities spread so quickly through social media, while scientific research that serves society does not? Have we reached the era of trivia?
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One reason is that social media algorithms are designed to promote engagement and increase user interaction, which often involves promoting content that invokes emotions such as outrage, humor, or enthusiasm. This can lead to the spread of trivial content as it is often more shareable and easily digestible than complex scientific research. Many users of social media are looking for immediate gratification and entertainment, and are less likely to engage with content that requires a significant time investment or intellectual effort to understand. Scientific research, on the other hand, often involves complex concepts that may not be accessible or immediately relevant to many users. This does not necessarily mean we have reached the era of trivia entirely, as there are still ways that scientific research can be made more accessible and delivered via new channels of communication like podcasts, vlogs, and different modalities. Scientists should aim to produce content that has educational value and that can be easily shared across social media by working towards designing content that is easily digestible and interactive to enable society to better engage with complex scientific research.
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In the Netherlands, there are currently administrative law experiments in which people who instigate public order disturbances via social media can be dealt with (e.g. with a fine). The first court case shows that this cannot stand up under local rules (local ordinance). Are there any known examples from other democratic regimes where public order disturbances incited via the Internet are prevented through legislation or through cooperation with social media platforms? Please let me know, thanks!
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It's a welcome development,
This will serve as deterrent to bloggers with fake information/ News, malicious information, derogatory use of language which tends to promote acrimony.
Hence sanity will be restored back to the social media
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Good day! We are students from Manuel S. Enverga University Foundation taking up Bachelor of Secondary Education major in English. We are currently working on a study entitled "The Power of Social Media: Evolution of Culture in the Making" and would like to humbly request your help in participating to our survey. No qualifications are required. All personal data and information collected in this survey will be treated with the utmost confidentiality. Rest assured that the information you provide will be used strictly for academic purposes. If you are interested, you may use the link provided below. Thank you!
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Sure!
Best Wishes for your study.
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First, it is not possible to answer this question without identifying many other factors such as the type of product, the target group, the place, the time.....etc.
However, we raised this question to shed light on the huge size of this market, which is developing in a huge way from year to year, reaching a value of 16 billion USD in 2022.
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In recent times they seem to reach us easier than the television
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There have been growing concerns on the advent of social media having an adverse effect on students learning. Students are seen spending more time on social media than their books in most parts of Africa and other parts of the world.
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It can have both good and bad effects
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How can we develop a system to analyse and control advertising campaigns that mislead the public through greenwashing?
How can we improve the factual quality of advertising campaigns, so that they present the products, services, brands of companies in accordance with the facts, e.g. without greenwashing?
How should the system of analysis and control of advertising campaigns be developed to reduce the scale of misleading the public through greenwashing by unreliable and unethical companies?
What are some obvious examples of greenwashing in advertising campaigns of companies that present themselves as green companies pursuing sustainable development goals, developing green, pro-environmental, pro-climate projects, making green investments, e.g. in renewable and emission-free energy sources, which is not true?
In recent years, there have been more and more examples of the use of greenwashing in advertising campaigns, which consists in misleading the public, potential customers, who are presented with certain offers of companies as green, although they are not. More and more advertising campaigns, public relations activities, etc. carried out by more and more advertising companies and business entities presenting their product offers, services, company brands, use greenwashing. Greenwashing is also referred to in everyday language as "eco-costume", "green untruth" or "green lie", a phenomenon consisting in creating the impression among customers looking for goods produced in accordance with the principles of ecology and environmental protection that the product or the company producing it is in harmony with nature and ecology. For example, recently, in the country in which I operate, a number of advertising spots have appeared in various media, which portray certain large energy sector companies that are state-owned companies as green companies acting in accordance with the principles of sustainable development and developing green investments in the development of renewable and emission-free energy sources, but unfortunately not in accordance with the facts, and are an example of greenwashing. The largest state-owned companies in the energy and petrochemical sector engage in greenwashing because they are portrayed in advertising campaigns as developing renewable energy sources, including the construction of onshore and offshore wind farms, while the development of onshore wind energy has been blocked by the Polish government for the last seven years, the construction of wind farms in the Baltic Sea by Polish companies is only just being planned, and the structure of energy sources in the energy sector is still such that three quarters of Poland's energy is generated by burning coal and lignite.
In view of the above, I would like to address the following questions to the esteemed community of scientists and researchers:
What are the evident examples of greenwashing in advertising campaigns of companies that present themselves as green companies pursuing sustainable development goals, developing green pro-ecological, pro-environmental, pro-climate projects, making green investments e.g. in renewable and emission-free energy sources which is not in accordance with the facts?
How should a system of analysis and control of advertising campaigns be developed in order to reduce the scale of misleading of citizens through greenwashing by unreliable and unethical companies?
How can the substantive quality of advertising campaigns be improved so that they present products, services and company brands in accordance with the facts, e.g. without greenwashing?
How can we develop a system for analysing and monitoring advertising campaigns that mislead the public through greenwashing?
How can the factual quality of advertising campaigns be improved so that they present companies' offers in accordance with the facts without greenwashing?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Improving the factual quality of advertising campaigns and avoiding greenwashing involves several key steps:
Conduct thorough research: Before launching an advertising campaign, companies must conduct thorough research to ensure that their claims are accurate and based on verifiable facts. This research should involve gathering data from credible sources, such as scientific studies, industry reports, and expert opinions.
Use clear language: Companies should avoid using vague or misleading language in their advertisements. Instead, they should use clear and concise language that accurately describes their products or services. They should avoid making exaggerated or unsubstantiated claims, as this can lead to accusations of greenwashing.
Provide evidence: To support their claims, companies should provide evidence such as test results, certifications, and customer testimonials. This evidence should be verifiable and provided by reputable third-party sources.
Be transparent: Companies should be transparent about their environmental and social practices. This includes disclosing any potential environmental or social impacts of their products or services, as well as their efforts to mitigate these impacts. Companies should also be transparent about their supply chains and the sources of their raw materials.
Involve stakeholders: Companies should involve stakeholders, such as customers, employees, and community members, in their advertising campaigns. This can help to ensure that their messages are accurate, relevant, and meaningful to their target audiences.
Verify claims: Companies should have a system in place to verify their claims and ensure that their advertisements are accurate. This may involve conducting internal audits, working with independent third-party auditors, or seeking certification from credible organizations.
By following these steps, companies can improve the factual quality of their advertising campaigns and avoid greenwashing. This can help to build trust with consumers and establish a positive reputation for the company.
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Is there any research on what's often called 'scambaiting,' when content creators make entertainment content, for example on Youtube or Twitch, by stringing scammers along?
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Hello Dr Jacob Strandell
I have recently found these:
Marta Dynel and Andrew S. Ross
You Don’t Fool Me: On Scams, Scambaiting, Deception, and Epistemological Ambiguity at R/scambait on Reddit
Social Media + Society
July-September 2021: 1–14
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My group made use of the Facebook Intensity Scale and the Motivation to use social media for Body Comparison Scale for our school research. Both make use of the Likert Scale. After getting the mean, what is the next step?
For example, for the Motivation to use social media for body comparison scale, we got a mean of 2.262857143. What does this number mean? Is there a standard cut-off?
We also used the Body Image Disturbance Questionnaire, and in one research, they did the following: after analyzing other researches, they concluded that 3.21 and higher are those with 'high severity of body image disturbance' and those 3.20 and lower are those with ' low severity of body image disturbance.
Is there anything like that for the Facebook Intensity Scale and the MEIS?
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After calculating the mean for your Likert scale data, the next step is to interpret the results. The mean score represents the average response of the participants to the questions in the scale. For example, a mean score of 2.262857143 for the Motivation to use social media for body comparison scale indicates that, on average, the participants have a moderate level of motivation to use social media for body comparison. There is no standard cut-off for interpreting Likert scale data, as the interpretation will depend on the context and purpose of your research. In some cases, researchers may choose to use a midpoint (e.g., 3 on a 5-point Likert scale) as a cut-off to differentiate between positive and negative responses. However, this is not always appropriate or necessary. To interpret your results, you may want to compare the mean scores across different groups or conditions, or examine the distribution of scores to identify patterns or trends. You may also want to consider the reliability and validity of the scale, and whether the mean score is consistent with previous research or theoretical expectations.
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This is to provide updates on my research as a backup communication channel for my project Multidimensional Integrable Systems
should Researchgate go through with its plan to discontinue the project feature altogether on March 31, 2023.
For the previous update log please see this snapshot
made on April 1, 2023.
You are welcome to follow this question, especially if you are interested in my research, and/or have already followed or intend to follow the above project.
For now, here are the links
0) to my lab
1) to the presentation explaining the most important research results in the project
2) to the key paper of the project
and to the other works in the project
which is now a spotlight, see
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For advice on how to preserve the project data & share research updates after discontinuation of the projects feature on March 31, see here:
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How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
How can the computerised analytics system architecture of Big Data Analytics platforms used to analyse the sentiment of Internet users' social media activity be improved using the new technologies of Industry 4.0, including but not limited to artificial intelligence, deep learning, machine learning, etc.?
In recent years, analytics conducted on large data sets downloaded from multiple websites using Big Data Analytics platforms has been developing rapidly. This type of analysis also includes sentiment analyses of changes in Internet users' opinions on specific topics, issues, opinions on product and service offers, brands of companies, public figures, political parties, etc., based on verification of thousands of posts and comments, answers given in discussions posted on social media sites. With the ever-increasing capabilities in terms of computing power of new generations of microprocessors and the speed of processing data stored on increasingly large digital storage media, the importance of increasing the scale of automation of the processes carried out during the aforementioned sentiment analyses is increasing. Certain new technologies of Industry 4.0, including machine learning, deep learning and artificial intelligence, are coming to the aid of this issue. I am conducting research on the process of sentiment analysis of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysis of changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms. I have included the results of these studies in my articles on this subject. I have also posted these articles after publication on my profile of this Research Gate portal. I would like to invite you to join me in scientific cooperation on this issue.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
Please answer with reasons,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Salesforce Tableau puts AI in driver’s seat for big data
“Data-driven” is a mantra for countless organizations, but it’s a back-seat driver, useful only to the extent that decision-makers can parse and interpret it and comprehend its implications.
Indeed, a 2022 survey-based study from strategy firm NewVantage found organizations continue to struggle to become data-driven, with only 26.5% reporting having achieved this goal, and only 19.3% reporting having established a data culture.
Business software titan Salesforce said a raft of enhancements to its Tableau project management platform will help decision makers live up to the phrase “data driven” by making big data more user-friendly. The company said the changes feature automation to processes and new integration features meant to make data easy to visualize, manipulate and share on Slack, its hub for communications, collaboration and customer engagement...
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Non-repudiation is a legal term defined as protection against an individual falsely denying having performed a particular action. It provides the capability to determine whether a given individual took a specific action, such as created information, approved information or sent or received a message.
Social media platforms such as WhatsApp have a function which allows one to send a message to an individual or a group and DELETE the message from all the recipients leaving them with no evidence of what has been sent. This allows the sender to deny having sent such a message. Read-once messages which get destroyed upon being read can also be a breach of non-repudiation on Social Media platforms.
What is your view of these functions on social media platforms? Legally are they acceptable?
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I don't use whatsapp and I don't care to use it.
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How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied on online social media sites?
In recent years, the application of new Industry 4.0 technologies in the process of generating marketing innovations applied to online social media portals has been on the rise. For the purpose of improving marketing communication processes, including advertising campaigns conducted on social media portals and promoting specific individuals, brands of companies, institutions, their product offers, services, etc., sentiment analysis of Internet users' activity in social media is conducted, including analysis of changes in social opinion trends, general social awareness of citizens by verifying the content of banners, posts, entries, comments, etc. entered by Internet users in social media using computerised, analytical Big Data Analytics platforms. I have described this issue in my articles following their publication on my profile of this Research Gate portal. I invite you to collaborate with me on team research projects conducted in this area. Currently, an important developmental issue is also the application of Big Data Analytics platforms used to analyse the sentiment of Internet user activity in social media, which uses new technologies of Industry 4.0, including, among others, artificial intelligence, deep learning, machine learning, etc. Besides, the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies can help in the process of automated generation of marketing innovations applied on online social media portals. An important issue in this topic is the proper construction of a computerised platform for the automated generation of marketing innovations applied on online social media portals, in which the new generations of Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies are used.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied to online social media portals?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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AI and Big Data analytics have revolutionized the way businesses approach online marketing. By leveraging these technologies, businesses can gain a deeper understanding of their customers and create more effective marketing strategies.
One of the primary benefits of AI and Big Data analytics is their ability to collect and analyze large amounts of data from various sources, including social media, website analytics, and customer feedback. This data can provide valuable insights into customer behavior, preferences, and purchasing patterns. With this information, businesses can create targeted marketing campaigns that are tailored to their customers' needs and interests.
Moreover, AI and Big Data analytics can help businesses personalize their marketing efforts. By analyzing customer data, businesses can create personalized recommendations, offers, and promotions that are more likely to resonate with individual customers. This personalized approach can help businesses build stronger relationships with their customers and increase customer loyalty.
Additionally, AI and Big Data analytics can help businesses optimize their marketing efforts by identifying trends and patterns in customer behavior. For example, by analyzing customer data, businesses can identify the most effective marketing channels, content types, and messaging strategies for their target audience. This information can help businesses refine their marketing strategies and improve their return on investment.
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what has the social media done in terms of bringing to light the ealdy child marriage menace
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In rural communities with poor literacy rates, child marriage is undoubtedly common, but we have seen instances of it in smaller settlements as well as in urban and semi-urban settlements. Social media networks are fostering romantic relationships between young people. They escape, live alongside, marry, and have a child. Other contributing causes included poverty, low literacy, and ignorance of the rules intended to prohibit underage marriages.
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Food has become a major tourist attraction in many developed and developing countries, and it is an important part of the visitor experience. However, the marketing potential of social media cannot be overstated. Social media has evolved into the most important platform for displaying what you want people to see. This research intends to look into how SM platforms might be utilized to promote culinary tourism in a developing country and thereby increase tourist visitation.
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By creating a community of food lovers who share their experiences and recommendations. Food bloggers and influencers can use platforms like Instagram, TikTok, and YouTube to share their culinary experiences and highlight local food spots. This can inspire travelers to visit new destinations and try different cuisines.
Moreover, social media can help tourism boards and destination marketing organizations to showcase their local food culture and promote unique culinary experiences. They can create social media campaigns that feature local food and beverages, highlight food festivals and events, and encourage travelers to share their food experiences using specific hashtags.
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Recently, numerous websites and posts on social media platforms have indicated that MDPI journals are considered predatory ones.
Is this information accurate/correct or not?
If anyone has information on this, would you kindly share it with me?
Thank You
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I think we need to confirm this news from the Scopus and Web science websites. If no news from both websites, so the news about predatory Journals are just only media news.
Best regards
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how social media is been used by secondary school student and what it makes they feel about themselves
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I recommend checking this paper as it relates to your question
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Researchers may feel hard to follow the latest result on their area. There may be several journals relevant to their research, and it’s impossible to read every paper.
Can we use natural language understanding method to help us read papers, and select those most likely to help us like chatgpt? Do we have such app?
In other way, why don’t we build something like academic Tiktok? Tiktok is perfect for researchers, because it clearly know our interests, and we can see others’ attitude towards a certain paper via comments.
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Yes, we can combine NLP and social media with document retrieval to extract relevant information and insights from social media data using natural language processing techniques.
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What do actually they look for?
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Visual presentation and easy access to content
As well as the personal side of the decision-maker and the collective mind of the audience are all influential factors
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Dear professors and students,
I am a bachelor student of social work, and I am currently doing research on the motivation to use social media by seniors in Slovakia.
At the moment, I am at the beginning of the literature review. I would be very pleased if you have some studies, which aim to investigate the usage of social networks by seniors/older adults, and I could implement them in my paper.
I would be appreciated for any kind of information about this topic.
If you have any questions, you may contact me at: [email protected]
Best regards,
Michal.
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Thank you so much for your willingness to share studies that will definitely help me with my research.
Have a pleasant rest of the day!
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Does analytics based on sentiment analysis of changes in Internet user opinion using Big Data Analytics help detect fakenews spread as part of the deliberate spread of disinformation on social media?
The spread of disinformation on social media used by setting up fake profiles and spreading fakenews on these media is becoming increasingly dangerous in terms of the security of not only specific companies and institutions but also the state. The various social media, including those dominating this segment of new online media, however, differ considerably in this respect. The problem is more acute in the case of those social media which are among the most popular and on which mainly young people function, whose world view can be more easily influenced by factual information and other disinformation techniques used on the Internet. Currently, among children and young people, the most popular social media include Tik Tok, Instagram and YouTube. Consequently, in recent months, the development of some social media sites such as Tik Tok is already being restricted by the governments of some countries by banning the use, installation of this application of this portal on smartphones, laptops and other devices used for official purposes by employees of public institutions. These actions are argued by the governments of these countries in order to maintain a certain level of cyber security and reduce the risk of surveillance, theft of data and sensitive, strategic and particularly security-sensitive information of individual institutions, companies and the state. In addition, there have already been more than a few cases of data leaks on other social media portals, telecoms, public institutions, local authorities and others based on hacking into the databases of specific institutions and companies. In Poland, however, the opposite is true. Not only does the organised political group PIS not restrict the use of Tik Tok by employees of public institutions, but it also motivates the use of this portal by politicians of the ruling PIS option to publish videos as part of the ongoing electoral campaign, which would increase the chances of winning parliamentary elections for the third time in autumn this year 2023. According to analysts researching the problem of growing disinformation on the Internet, in highly developed countries it is enough to create 100 000 avatars, i.e. non-existent fictitious persons, created as it were and seemingly functioning thanks to the Internet by creating profiles of these fictitious persons on social media portals referred to as fake profiles created and functioning on these portals, to seriously influence the world view, the general social awareness of Internet users, i.e. usually the majority of citizens in the country. On the other hand, in third world countries, in countries with undemocratic systems of power, all that is needed for this purpose is about 1,000 avatars of these fictitious people with stories modelled, for example, on famous people such as, in Poland, a well-known singer claiming that there is no pandemic and that vaccines are an instrument for increasing control of citizens by the state. The analysis of changes in the world view of Internet users, changes in trends concerning social opinion on specific issues, evaluations of specific product and service offers, brand recognition of companies and institutions can be conducted on the basis of sentiment analysis of changes in the opinion of Internet users using Big Data Analytics. Consequently, this type of analytics can be applied and of great help in detecting factual news disseminated as part of the deliberate spread of disinformation on social media.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does analytics based on sentiment analysis of changes in the opinions of Internet users using Big Data Analytics help in detecting fakenews spread as part of the deliberate spread of disinformation on social media?
What is your opinion on this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Answer
Yes, sentiment analysis based on Big Data Analytics can help in detecting fake news spread as part of the deliberate spread of disinformation on social media. Sentiment analysis involves the use of natural language processing and machine learning techniques to analyze large amounts of textual data, such as social media posts, to identify the sentiment expressed in the text. By analyzing changes in the sentiment of Internet users towards a particular topic or event, it is possible to identify patterns of misinformation and disinformation.
For example, if there is a sudden surge in negative sentiment towards a particular politician or political party, it could be an indication of a disinformation campaign aimed at spreading negative propaganda. Similarly, if there is a sudden increase in positive sentiment towards a particular product or service, it could be an indication of a paid promotion or marketing campaign.
However, it is important to note that sentiment analysis alone may not be enough to detect fake news and disinformation. It is also important to consider other factors such as the source of the information, the credibility of the information, and the context in which the information is being shared. Therefore, a comprehensive approach involving multiple techniques and tools may be necessary to effectively detect and combat fake news and disinformation on social media.