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The spread of misinformation in networks with individual and social learning

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  • Della Lena, Sebastiano

Abstract

The paper studies the spread of misinformation when agents have both individual and social learning. In the presence of sources of misinformation, the most vulnerable and harmful agents are those with poor individual learning and high centrality in the network. However, if opinions are polarized, providing some agents with better private information can backfire on other agents. Moreover, the incentives to spread misinformation have an inverted U-shaped relationship with the spreader’s influence; and, under certain conditions, an unaware spreader can be more harmful than a purposeful one. Overall, this paper warns that any policy that fails to consider both the precision of agents’ private information and the network structure runs the risk of backfiring.

Suggested Citation

  • Della Lena, Sebastiano, 2024. "The spread of misinformation in networks with individual and social learning," European Economic Review, Elsevier, vol. 168(C).
  • Handle: RePEc:eee:eecrev:v:168:y:2024:i:c:s0014292124001338
    DOI: 10.1016/j.euroecorev.2024.104804
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    as
    1. Evan Sadler, 2021. "A Practical Guide to Updating Beliefs From Contradictory Evidence," Econometrica, Econometric Society, vol. 89(1), pages 415-436, January.
    2. Jon Roozenbeek & Sander van der Linden, 2019. "The fake news game: actively inoculating against the risk of misinformation," Journal of Risk Research, Taylor & Francis Journals, vol. 22(5), pages 570-580, May.
    3. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    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. Navin Kartik, 2009. "Strategic Communication with Lying Costs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1359-1395.
    6. Jadbabaie, Ali & Molavi, Pooya & Sandroni, Alvaro & Tahbaz-Salehi, Alireza, 2012. "Non-Bayesian social learning," Games and Economic Behavior, Elsevier, vol. 76(1), pages 210-225.
    7. Francis Bloch & Matthew O. Jackson & Pietro Tebaldi, 2023. "Centrality measures in networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(2), pages 413-453, August.
    8. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    9. Drew Fudenberg & Giacomo Lanzani & Philipp Strack, 2024. "Selective-Memory Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 132(12), pages 3978-4020.
    10. Martial Foucault & Yann Algan & Daniel Cohen & Eva Davoine & Stefanie Stantcheva, 2021. "Trust in scientists in times of pandemic: Panel evidence from 12 countries," Post-Print hal-03423522, HAL.
    11. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
    12. 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.
    13. Mohamed Mostagir & Asuman Ozdaglar & James Siderius, 2022. "When Is Society Susceptible to Manipulation?," Management Science, INFORMS, vol. 68(10), pages 7153-7175, October.
    14. Mandel, Antoine & Venel, Xavier, 2020. "Dynamic competition over social networks," European Journal of Operational Research, Elsevier, vol. 280(2), pages 597-608.
    15. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
    16. Daron Acemoglu & Asuman Ozdaglar & James Siderius, 2024. "A Model of Online Misinformation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3117-3150.
    17. Benjamin Golub & Stephen Morris, 2020. "Expectations, Networks, and Conventions," Papers 2009.13802, arXiv.org.
    18. Michel Grabisch & Antoine Mandel & Agnieszka Rusinowska & Emily Tanimura, 2015. "Strategic influence in social networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01158168, HAL.
    19. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    20. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
    21. Soo Hong Chew & Wei Huang & Xiaojian Zhao, 2020. "Motivated False Memory," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3913-3939.
    22. Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
    23. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    24. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
    25. Anufriev, Mikhail & Borissov, Kirill & Pakhnin, Mikhail, 2023. "Dissonance minimization and conversation in social networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 167-191.
    26. Pooya Molavi & Alireza Tahbaz‐Salehi & Ali Jadbabaie, 2018. "A Theory of Non‐Bayesian Social Learning," Econometrica, Econometric Society, vol. 86(2), pages 445-490, March.
    27. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2022. "Learning in two-dimensional beauty contest games: Theory and experimental evidence," Journal of Economic Theory, Elsevier, vol. 201(C).
    28. Zhen Huo & Marcelo Pedroni, 2020. "A Single-Judge Solution to Beauty Contests," American Economic Review, American Economic Association, vol. 110(2), pages 526-568, February.
    29. Acemoglu, Daron & Ozdaglar, Asuman & ParandehGheibi, Ali, 2010. "Spread of (mis)information in social networks," Games and Economic Behavior, Elsevier, vol. 70(2), pages 194-227, November.
    30. Daron Acemoğlu & Giacomo Como & Fabio Fagnani & Asuman Ozdaglar, 2013. "Opinion Fluctuations and Disagreement in Social Networks," Mathematics of Operations Research, INFORMS, vol. 38(1), pages 1-27, February.
    31. repec:dau:papers:123456789/1908 is not listed on IDEAS
    32. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    33. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, January.
    34. Kartik, Navin & Ottaviani, Marco & Squintani, Francesco, 2007. "Credulity, lies, and costly talk," Journal of Economic Theory, Elsevier, vol. 134(1), pages 93-116, May.
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    More about this item

    Keywords

    Misinformation; Opinion dynamics; Non-Bayesian social learning; Stubborn agents;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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