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Endogenous Attention and the Spread of False News

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  • Tuval Danenberg
  • Drew Fudenberg

Abstract

We study the impact of endogenous attention in a dynamic model of social media sharing. Each period, a distinct user randomly draws a story from the pool of stories on the platform and decides whether or not to share it. Users want to share stories that are true and interesting, but differentiating true stories from false ones requires attention. Before deciding whether to share a story, users choose their level of attention based on how interesting the story is and the platform's current proportions of true and false stories. We characterize the limit behavior of the share of true stories using stochastic approximation techniques. For some parameter specifications, the system has a unique limit. For others, the limit is random -- starting from the same initial conditions, the platform may end up with very different proportions of true and false stories and different user sharing behavior. We present various comparative statics for the limit. Endogenous attention leads to a counterbalancing force to changes in the credibility of false stories but can intensify the effects of changes in false stories' production rate.

Suggested Citation

  • Tuval Danenberg & Drew Fudenberg, 2024. "Endogenous Attention and the Spread of False News," Papers 2406.11024, arXiv.org.
    • Handle: RePEc:arx:papers:2406.11024
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    1. Luca P. Merlino & Paolo Pin & Nicole Tabasso, 2023. "Debunking Rumors in Networks," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 467-496, February.
    2. Krishna Dasaratha & Kevin He, 2022. "Learning from Viral Content," Papers 2210.01267, arXiv.org, revised Aug 2023.
    3. Michel Benaim & Josef Hofbauer & Sylvain Sorin, 2005. "Stochastic Approximations and Differential Inclusions II: Applications," Levine's Bibliography 784828000000000098, UCLA Department of Economics.
    4. Francis Bloch & Gabrielle Demange & Rachel Kranton, 2018. "Rumors And Social Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 421-448, May.
    5. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    6. Rachel Kranton & David McAdams, 2024. "Social Connectedness and Information Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 16(1), pages 33-62, February.
    7. Gordon Pennycook & Adam Bear & Evan T. Collins & David G. Rand, 2020. "The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings," Management Science, INFORMS, vol. 66(11), pages 4944-4957, November.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    9. Gordon Pennycook & Ziv Epstein & Mohsen Mosleh & Antonio A. Arechar & Dean Eckles & David G. Rand, 2021. "Shifting attention to accuracy can reduce misinformation online," Nature, Nature, vol. 592(7855), pages 590-595, April.
    10. Yiangos Papanastasiou, 2020. "Fake News Propagation and Detection: A Sequential Model," Management Science, INFORMS, vol. 66(5), pages 1826-1846, May.
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