IDEAS home Printed from https://ideas.repec.org/p/hic/wpaper/243.html
   My bibliography  Save this paper

A Model of Protests, Revolution, and Information

Author

Listed:
  • Salvador Barbera

    (MOVE, Universitat Autònoma de Barcelona and Barcelona GSE)

  • Matthew O. Jackson

    (Stanford University)

Abstract

A revolt or protest succeeds only if sufficient people participate. We study how potential participants' ability to coordinate is affected by their information. We distinguish four phenomena that affect whether information either encourages or inhibits protests and revolutions: (i) Unraveling: When agents learn about each others' types, some are discouraged by meeting partisans of the status quo. This can unravel, as even confident agents realize that enough supporters will be discouraged to preclude a successful revolution. (ii) Homophily: Learning someone else's type under homophily is less informative since that individual is more likely to be similar to the learner. This can lead people to be less confident of a revolution, but can also stop potential unraveling. (iii) Extremism: Meeting other protestors, and seeing pilot demonstrations or outcomes in similar countries, reveal not only how much support for change exists, but also from which constituencies it emerges. This can undercut a revolution if factions differ sufficiently in their preferred changes. (iv) Counter Demonstrations: partisans for the status quo can hold counter-demonstrations to signal their strength. We also discuss why holding mass demonstrations before a revolution may provide better signals of peoples willingness to actively participate than other less costly forms of communication (e.g., via social media), and how governments use redistribution and propaganda to avoid a revolution.

Suggested Citation

  • Salvador Barbera & Matthew O. Jackson, 2017. "A Model of Protests, Revolution, and Information," HiCN Working Papers 243, Households in Conflict Network.
  • Handle: RePEc:hic:wpaper:243
    as

    Download full text from publisher

    File URL: http://www.hicn.org/wp-content/uploads/2012/06/HiCN-WP-243.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Judd, Kenneth L., 1985. "The law of large numbers with a continuum of IID random variables," Journal of Economic Theory, Elsevier, vol. 35(1), pages 19-25, February.
    2. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    3. Jonathan Weinstein & Muhamet Yildiz, 2007. "A Structure Theorem for Rationalizability with Application to Robust Predictions of Refinements," Econometrica, Econometric Society, vol. 75(2), pages 365-400, March.
    4. Philippe Aghion & Alberto Alesina & Francesco Trebbi, 2004. "Endogenous Political Institutions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 565-611.
    5. Pierskalla, Jan H. & Hollenbach, Florian M., 2013. "Technology and Collective Action: The Effect of Cell Phone Coverage on Political Violence in Africa," American Political Science Review, Cambridge University Press, vol. 107(2), pages 207-224, May.
    6. Daron Acemoglu & Georgy Egorov & Konstantin Sonin, 2012. "Dynamics and Stability of Constitutions, Coalitions, and Clubs," American Economic Review, American Economic Association, vol. 102(4), pages 1446-1476, June.
    7. 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.
    8. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    9. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2007. "Dynamic Global Games of Regime Change: Learning, Multiplicity, and the Timing of Attacks," Econometrica, Econometric Society, vol. 75(3), pages 711-756, May.
    10. Matthew O. Jackson & Leo K. Simon & Jeroen M. Swinkels & William R. Zame, 2002. "Communication and Equilibrium in Discontinuous Games of Incomplete Information," Econometrica, Econometric Society, vol. 70(5), pages 1711-1740, September.
    11. 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.
    12. 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.
    13. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    14. Feldman, Mark & Gilles, Christian, 1985. "An expository note on individual risk without aggregate uncertainty," Journal of Economic Theory, Elsevier, vol. 35(1), pages 26-32, February.
    15. 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.
    16. Lohmann, Susanne, 1993. "A Signaling Model of Informative and Manipulative Political Action," American Political Science Review, Cambridge University Press, vol. 87(2), pages 319-333, June.
    17. Lohmann, Susanne, 2000. "Collective Action Cascades: An Informational Rationale for the Power in Numbers," Journal of Economic Surveys, Wiley Blackwell, vol. 14(5), pages 655-684, December.
    18. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    19. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    20. Davide Cantoni & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Are Protests Games of Strategic Complements or Substitutes? Experimental Evidence from Hong Kong's Democracy Movement," NBER Working Papers 23110, National Bureau of Economic Research, Inc.
    21. de Martí Beltran, Joan, 2009. "Matthew O. Jackson, Social and Economic Networks , Princeton University Press (2008)," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 644-645, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kishishita, Daiki & Yamagishi, Atsushi, 2021. "Contagion of populist extremism," Journal of Public Economics, Elsevier, vol. 193(C).
    2. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    3. Andrea Tesei & Filipe Campante & Ruben Durante, 2022. "Media and Social Capital," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 69-91, August.
    4. González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
    5. Nathan Canen & Anujit Chakraborty, 2022. "Choosing The Best Incentives for Belief Elicitation with an Application to Political Protests," Papers 2210.12549, arXiv.org.
    6. Cantoni, Davide & Heizlsperger, Louis-Jonas & Yang, David Y. & Yuchtman, Noam & Zhang, Y. Jane, 2022. "The fundamental determinants of protest participation: Evidence from Hong Kong’s antiauthoritarian movement," Journal of Public Economics, Elsevier, vol. 211(C).
    7. Gisli Gylfason, 2023. "From Tweets to the Streets: Twitter and Extremist Protests in the United States," PSE Working Papers halshs-04188189, HAL.
    8. Pierre C. Boyer & Thomas Delemotte & Germain Gauthier & Vincent Rollet & Benoît Schmutz, 2020. "Social Media and the Dynamics of Protests," CESifo Working Paper Series 8326, CESifo.
    9. Gerling, Lena & Kellermann, Kim Leonie, 2022. "Contagious populists: The impact of election information shocks on populist party preferences in Germany," European Journal of Political Economy, Elsevier, vol. 72(C).
    10. Afridi, Farzana & Basistha, Ahana & Dhillon, Amrita & Serra, Danila, 2023. "Activating Change: The Role of Information and Beliefs in Social Activism," IZA Discussion Papers 16358, Institute of Labor Economics (IZA).
    11. Masiliūnas, Aidas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 214-251.
    12. Boyer, Pierre & Delemotte, Thomas & Gauthier, Germain & Rollet, Vincent & Schmutz, Benoit, 2020. "The Gilets jaunes: Offline and Online," CEPR Discussion Papers 14780, C.E.P.R. Discussion Papers.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hubert Janos Kiss & Ismael Rodríguez-Lara & Alfonso Rosa-García, 2017. "Overthrowing the dictator: a game-theoretic approach to revolutions and media," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 49(2), pages 329-355, August.
    2. Masiliūnas, Aidas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 214-251.
    3. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2020. "Social Media and Protest Participation: Evidence From Russia," Econometrica, Econometric Society, vol. 88(4), pages 1479-1514, July.
    4. Boxell, Levi & Steinert-Threlkeld, Zachary, 2022. "Taxing dissent: The impact of a social media tax in Uganda," World Development, Elsevier, vol. 158(C).
    5. Levi Boxell & Zachary Steinert-Threlkeld, 2019. "Taxing dissent: The impact of a social media tax in Uganda," Papers 1909.04107, arXiv.org.
    6. Jonas Hedlund & Carlos Oyarzun, 2018. "Imitation in heterogeneous populations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(4), pages 937-973, June.
    7. Davide Cantoni & David Y Yang & Noam Yuchtman & Y Jane Zhang, 2019. "Protests as Strategic Games: Experimental Evidence from Hong Kong's Antiauthoritarian Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 1021-1077.
    8. Larson, Nathan, 2015. "Inertia in social learning from a summary statistic," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 596-626.
    9. Pablo D. Fajgelbaum & Edouard Schaal & Mathieu Taschereau-Dumouchel, 2017. "Uncertainty Traps," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1641-1692.
    10. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    11. Chong Huang, 2018. "Coordination and social learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 155-177, January.
    12. Ekaterina Zhuravskaya & Maria Petrova & Ruben Enikolopov, 2020. "Political Effects of the Internet and Social Media," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 415-438, August.
    13. Christoph March, 2011. "Adaptive social learning," Working Papers halshs-00572528, HAL.
    14. Sonin, Konstantin & Egorov, Georgy, 2019. "Persuasion on Networks," CEPR Discussion Papers 13723, C.E.P.R. Discussion Papers.
    15. Markose, Sheri M & Alentorn, Amadeo & Krause, Andreas, 2004. "Dynamic Learning, Herding and Guru Effects in Networks," Economics Discussion Papers 3732, University of Essex, Department of Economics.
    16. Camilo García-Jimeno & Angel Iglesias & Pinar Yildirim, 2018. "Women, Rails and Telegraphs: An Empirical Study of Information Diffusion and Collective Action," NBER Working Papers 24495, National Bureau of Economic Research, Inc.
    17. Chong Huang, 2011. "Coordination and Social Learning," PIER Working Paper Archive 11-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Wei He & Qian Wang, 2020. "The peer effect of corporate financial decisions around split share structure reform in China," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 474-493, July.
    19. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    20. Jacob K. Goeree & Leeat Yariv, 2015. "Conformity in the lab," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 15-28, July.

    More about this item

    Keywords

    Revolution; demonstration; protests; strikes; Arab Spring;
    All these keywords.

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hic:wpaper:243. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tilman Brück or the person in charge or the person in charge or the person in charge (email available below). General contact details of provider: https://hicn.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.