This article examines the influence of digital platforms on knowledge accessibility and transmission. It draws parallels with historical shifts in media, particularly focusing on how internet algorithms and social media affect information distribution, fostering polarized opinions. By referencing previous scholarly works, it highlights the transformations caused by technological advancements. The article further discusses how recommendation algorithms and self-selection contribute to distorted views, and explains the theoretical frameworks, like game theory, that can model these phenomena, emphasizing the need to rethink how knowledge is constructed and shared in today's digital age.
Technology has long affected how we access knowledge, raising concerns about its impact on the transmission and creation of knowledge, echoing historical debates.
The rise of internet search algorithms and social media raised concerns about the nature and distribution of information, affecting attitudes and political polarization.
The impact of recommendation algorithms and self-selection on social media can generate distorted and polarizing opinions, analogous to reliance on AI.
Game theoretic models of information cascades help explain failures in social learning, where the public struggles to update rationally based on private signals.
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