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Persuasion on Networks

Author

Listed:
  • Georgy Egorov
  • Konstantin Sonin

Abstract

We analyze persuasion in a model in which each receiver can buy a direct access to the sender's signal or rely on her network connections to get it. For the sender, a higher bias increases the impact per direct receiver, yet diminishes the willingness of agents to receive information. Contrary to naive intuition, the optimal propaganda might target peripheral, rather than centrally-located agents, and is at its maximum levels when the probability that information flows between agents is close to zero or one, but not in-between. The impact of network density depends on this probability as well.

Suggested Citation

  • Georgy Egorov & Konstantin Sonin, 2020. "Persuasion on Networks," NBER Working Papers 27631, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27631
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    1. Lorentzen, Peter L., 2013. "Regularizing Rioting: Permitting Public Protest in an Authoritarian Regime," Quarterly Journal of Political Science, now publishers, vol. 8(2), pages 127-158, February.
    2. King, Gary & Pan, Jennifer & Roberts, Margaret E., 2017. "How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument," American Political Science Review, Cambridge University Press, vol. 111(3), pages 484-501, August.
    3. Kolotilin, Anton, 2015. "Experimental design to persuade," Games and Economic Behavior, Elsevier, vol. 90(C), pages 215-226.
    4. Heng Chen & Yang K. Lu & Wing Suen, 2016. "The Power Of Whispers: A Theory Of Rumor, Communication, And Revolution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57, pages 89-116, February.
    5. Zenou, Yves & Jackson, Matthew O. & Rogers, Brian, 2016. "Networks: An economic perspective," CEPR Discussion Papers 11452, C.E.P.R. Discussion Papers.
    6. Maja Adena & Ruben Enikolopov & Maria Petrova & Veronica Santarosa & Ekaterina Zhuravskaya, 2015. "Radio and the Rise of The Nazis in Prewar Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1885-1939.
    7. Ina Taneva, 2019. "Information Design," American Economic Journal: Microeconomics, American Economic Association, vol. 11(4), pages 151-185, November.
    8. Ricardo Alonso & Odilon Câmara, 2016. "Persuading Voters," American Economic Review, American Economic Association, vol. 106(11), pages 3590-3605, November.
    9. Kolotilin, Anton, 2018. "Optimal information disclosure: a linear programming approach," Theoretical Economics, Econometric Society, vol. 13(2), May.
    10. Yuyu Chen & David Y. Yang, 2019. "The Impact of Media Censorship: 1984 or Brave New World?," American Economic Review, American Economic Association, vol. 109(6), pages 2294-2332, June.
    11. Yun Wang, 2015. "Bayesian Persuasion with Multiple Receivers," Working Papers 2015-03-24, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    12. Calvó-Armengol, Antoni & , & ,, 2015. "Communication and influence," Theoretical Economics, Econometric Society, vol. 10(2), May.
    13. King, Gary & Pan, Jennifer & Roberts, Margaret E., 2013. "How Censorship in China Allows Government Criticism but Silences Collective Expression," American Political Science Review, Cambridge University Press, vol. 107(2), pages 326-343, May.
    14. repec:hal:pseose:halshs-01245557 is not listed on IDEAS
    15. David Yanagizawa-Drott, 2014. "Propaganda and Conflict: Evidence from the Rwandan Genocide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1947-1994.
    16. repec:nas:journl:v:115:y:2018:p:e6996-e7004 is not listed on IDEAS
    17. Ludmila Matyskova, 2018. "Bayesian Persuasion with Costly Information Acquisition," CERGE-EI Working Papers wp614, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Luis Rayo & Ilya Segal, 2010. "Optimal Information Disclosure," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 949-987.
    19. Egorov, Georgy & Guriev, Sergei & Sonin, Konstantin, 2009. "Why Resource-poor Dictators Allow Freer Media: A Theory and Evidence from Panel Data," American Political Science Review, Cambridge University Press, vol. 103(4), pages 645-668, November.
    20. Michael Suk-Young Chwe, 2000. "Communication and Coordination in Social Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(1), pages 1-16.
    21. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    22. Isabelle Brocas & Juan D. Carrillo, 2007. "Influence through ignorance," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 931-947, December.
    23. Akbarpour, Mohammad & Malladi, Suraj & Saberi, Amin, 2018. "Just a Few Seeds More: Value of Network Information for Diffusion," Research Papers 3678, Stanford University, Graduate School of Business.
    24. Shanker Satyanath & Nico Voigtländer & Hans-Joachim Voth, 2017. "Bowling for Fascism: Social Capital and the Rise of the Nazi Party," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 478-526.
    25. Chan, Jimmy & Gupta, Seher & Li, Fei & Wang, Yun, 2019. "Pivotal persuasion," Journal of Economic Theory, Elsevier, vol. 180(C), pages 178-202.
      • Jimmy Chan & Seher Gupta & Fei Li & Yun Wang, 2018. "Pivotal Persuasion," Working Papers 2018-11-03, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    26. Matthew Gentzkow & Emir Kamenica, 2014. "Costly Persuasion," American Economic Review, American Economic Association, vol. 104(5), pages 457-462, May.
    27. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    28. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1201-1236.
    29. Michael Ostrovsky & Michael Schwarz, 2010. "Information Disclosure and Unraveling in Matching Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 2(2), pages 34-63, May.
    30. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    31. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    32. Venkatesh Bala & Sanjeev Goyal, 1998. "Learning from Neighbours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 595-621.
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    Cited by:

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    3. Sergei Guriev & Daniel Treisman, 2019. "Informational Autocrats," Journal of Economic Perspectives, American Economic Association, vol. 33(4), pages 100-127, Fall.
    4. Toygar T. Kerman & Anastas P. Tenev & Konstantin Zabarnyi, 2025. "Persuasion Gains and Losses from Peer Communication," Papers 2509.09099, arXiv.org.
    5. Toygar T. Kerman & Anastas P. Tenev, 2024. "Pitfalls of Information Spillovers in Persuasion," CERGE-EI Working Papers wp772, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Yifan Zhang, 2024. "Persuasion in Networks: Can the Sender Do Better than Using Public Signals?," Papers 2404.18965, arXiv.org, revised Aug 2025.
    7. Cheng Li & Yancheng Xiao, 2023. "Information design, externalities, and government interventions," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(4), pages 821-839, August.
    8. Wataru Tamura, 2025. "Information Design for Adaptive Organizations," Papers 2501.12669, arXiv.org.

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    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

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