Methods for Validating and Valuing Information Course Report
Kadir Cem Yilmaz
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According to this theory, the internet as we know it ceased to exist around 2016, and what we see now is merely a facade created by bots and AI algorithms.
Proponents of this theory claim that most online content and interactions are generated by machines, and real human activity constitutes only a small fraction of what we see.
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The evolution of social media platforms has significantly reshaped the way humans connect, communicate, and consume information. Emerging in the early 2000s with platforms like MySpace and Friendster, social media quickly gained traction by offering users a space to share personal updates, network with friends, and explore niche communities.
With the launch of Facebook, Twitter, Instagram, and later platforms like TikTok, social media transformed from a space for personal interaction into a global phenomenon attracting billions of users. The initial success of these platforms was fueled by their ability to foster authentic connections, enable self-expression, and provide a participatory culture that encouraged active user engagement (Bakker, 2012).
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As social media platforms grew, their business models evolved to leverage user activity for revenue generation. The core model revolved around advertising, where platforms monetized user data to offer targeted advertisements (Muzumdar et al., 2025).
As the number of subscribers and daily active users surged, so did the advertising potential, driving these platforms to focus on maximizing user interaction to optimize revenue streams.
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With the exponential growth in user bases and content demands, social media platforms began incorporating artificial intelligence (AI) technologies to manage and enhance user experiences. (Cook et al., 2019)
Platforms began using AI bots to amplify interactions. Bots were programmed to like, comment, dislike, or share content, creating an illusion of heightened activity and engagement. (Muzumdar et al. 2025)
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Corporations and governments are also accused of orchestrating and manipulating online spaces for financial gain, political propaganda, or social control. This alleged coordination between AI systems and powerful entities fosters a facade of dynamism and vibrancy, masking what some see as a hollow and artificial digital landscape (Walter, 2024).
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This theory suggests that a significant portion of online activity is no longer driven by genuine human engagement but by AI-generated content and interactions. In the context of social media, DIT highlights how platforms prioritize revenue generation over authentic social connection.
Content farming, driven by these algorithms, produces large volumes of repetitive or low quality material aimed at gaming the system. This content is optimized for visibility within the algorithmic framework, often prioritizing quantity over quality to capture user attention.
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Between 2016 and 2017, over 13 million tweets shared links from low-credibility sources, while only 1.1 million linked to fact-checking sites. These sources mimic real news outlets but spread misinformation without journalistic standards.
The Dead Internet Theory suggests that much of today's online content is automated, reducing authenticity and trust in digital spaces. While this raises concerns about creativity and genuine interaction, it also highlights how AI and automation can expand access and participation. The theory reflects both fears of a lifeless internet and recognition of its evolving nature. (Muzumdar et al., 2025)