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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP16932 |
DP16932 A Model of Online Misinformation | |
Daron Acemoğlu; Asuman Ozdaglar; James Siderius | |
发表日期 | 2022-01-19 |
出版年 | 2022 |
语种 | 英语 |
摘要 | We present a model of online content sharing where agents sequentially observe an article and must decide whether to share it with others. This content may or may not contain misinformation. Agents gain utility from positive social media interactions but do not want to be called out for propagating misinformation. We characterize the (Bayesian-Nash) equilibria of this social media game and show sharing exhibits strategic complementarity. Our first main result establishes that the impact of homophily on content virality is non-monotone: homophily reduces the broader circulation of an article, but it creates echo chambers that impose less discipline on the sharing of low-reliability content. This insight underpins our second main result, which demonstrates that social media platforms interested in maximizing engagement tend to design their algorithms to create more homophilic communication patterns (“filter bubbles”). We show that platform incentives to amplify misinformation are particularly pronounced for low-reliability content likely to contain misinformation and when there is greater polarization and more divisive content. Finally, we discuss various regulatory solutions to such platform-manufactured misinformation. |
主题 | Industrial Organization ; Political Economy |
关键词 | Echo chambers Fake news Filter bubbles Homophily Misinformation Networks Social media |
URL | https://cepr.org/publications/dp16932 |
来源智库 | Centre for Economic Policy Research (United Kingdom) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545871 |
推荐引用方式 GB/T 7714 | Daron Acemoğlu,Asuman Ozdaglar,James Siderius. DP16932 A Model of Online Misinformation. 2022. |
条目包含的文件 | 条目无相关文件。 |
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