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Misinformation in Social Media: The Role of Verification Incentives

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Abstract

We develop a model in which the prevalence and sharing of misinformation endogenously arise from the interaction between (i) users’ decisions to verify and share news of unknown truthfulness and (ii) producers’ choices to generate fake content. We use the model to examine how policies intended to combat misinformation affect users’ incentives to engage in costly news verification. Via this channel, unintended effects may emerge from: lowering verification costs borne by users; disrupting the supply of fake content; and introducing imperfect filters. We provide sensitivity measures, akin to demand elasticities, to evaluate these effects, and make predictions about market outcomes based on observable characteristics such as users’ age and popularity, as well as deeper parameters such as users’ gains and losses of sharing news.

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  • Gonzalo Cisternas & Jorge Vásquez, 2022. "Misinformation in Social Media: The Role of Verification Incentives," Staff Reports 1028, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:94636
    Note: Revised February 2023.
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    References listed on IDEAS

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    1. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2015. "The Limits of Price Discrimination," American Economic Review, American Economic Association, vol. 105(3), pages 921-957, March.
    2. Elena Quercioli & Lones Smith, 2015. "The Economics of Counterfeiting," Econometrica, Econometric Society, vol. 83(3), pages 1211-1236, May.
    3. Alessandro Bonatti & Gonzalo Cisternas, 2020. "Consumer Scores and Price Discrimination," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 750-791.
    4. Daniel Ershov & Juan S. Morales, 2021. "Sharing News Left and Right: The Effects of Policies Targeting Misinformation on Social Media," Carlo Alberto Notebooks 651, Collegio Carlo Alberto.
    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. Becker, Gary S, 1991. "A Note on Restaurant Pricing and Other Examples of Social Influences on Price," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 1109-1116, October.
    7. Marta Serra-Garcia & Uri Gneezy, 2021. "Mistakes, Overconfidence, and the Effect of Sharing on Detecting Lies," American Economic Review, American Economic Association, vol. 111(10), pages 3160-3183, October.
    8. 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.
    9. Renee Bowen & Danil Dmitriev & Simone Galperti, 2021. "Learning from Shared News: When Abundant Information Leads to Belief Polarization," NBER Working Papers 28465, National Bureau of Economic Research, Inc.
    10. 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.
    11. Bowen, T. Renee & Galperti, Simone & Dmitriev, Danil, 2021. "Learning from Shared News: When Abundant Information Leads to Belief Polarization," CEPR Discussion Papers 15789, C.E.P.R. Discussion Papers.
    12. 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.
    13. 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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    More about this item

    Keywords

    misinformation; news verification; social media;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General

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