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Information Jamming and Capture Cost: A Global Game Analysis of Collective Action

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  • Tao Wu
  • Lin Gui
  • Liguo Zhang
  • Chih-Chun Kung

Abstract

To understand the interactive mechanisms behind citizens’ collective action against the project implementation of local governments of authoritarian regimes, we develop a global game model in which the decisions of local governments, media outlets, and citizens are endogenous. The methodology of theoretical game model focuses on the relationship between media capture and citizens’ belief formation and how it affects the citizens’ decision to participate in a demonstration. Our results show that if the information jamming effect dominates the capture cost effect, then increasing the supervision efficiency of media helps local governments implement unpopular projects that bring negative externalities to citizens. Otherwise, increasing the supervision efficiency would make it more difficult for local governments to implement projects. Based on the results of game model, policies such as relaxing media control, developing the media market, strengthening the judicial system, and perfecting the information disclosure system of local governments could increase the cost of media capture and thus effectively constrain the behavior of local governments, which helps prevent the occurrence of mass disturbances.

Suggested Citation

  • Tao Wu & Lin Gui & Liguo Zhang & Chih-Chun Kung, 2023. "Information Jamming and Capture Cost: A Global Game Analysis of Collective Action," SAGE Open, , vol. 13(1), pages 21582440221, January.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440221142302
    DOI: 10.1177/21582440221142302
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    1. Morris, Stephen & Shin, Hyun Song, 1998. "Unique Equilibrium in a Model of Self-Fulfilling Currency Attacks," American Economic Review, American Economic Association, vol. 88(3), pages 587-597, June.
    2. Carlsson, Hans & van Damme, Eric, 1993. "Global Games and Equilibrium Selection," Econometrica, Econometric Society, vol. 61(5), pages 989-1018, September.
    3. Matthew A. Gentzkow & Jesse M. Shapiro, 2004. "Media, Education and Anti-Americanism in the Muslim World," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 117-133, Summer.
    4. Chen, Jidong & Xu, Yiqing, 2017. "Information Manipulation and Reform in Authoritarian Regimes," Political Science Research and Methods, Cambridge University Press, vol. 5(1), pages 163-178, January.
    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. Dirk Bergemann & Stephen Morris, 2016. "Information Design, Bayesian Persuasion, and Bayes Correlated Equilibrium," American Economic Review, American Economic Association, vol. 106(5), pages 586-591, May.
    7. Gregory J. Martin & Ali Yurukoglu, 2017. "Bias in Cable News: Persuasion and Polarization," American Economic Review, American Economic Association, vol. 107(9), pages 2565-2599, September.
    8. Ruben Enikolopov & Maria Petrova & Ekaterina Zhuravskaya, 2011. "Media and Political Persuasion: Evidence from Russia," American Economic Review, American Economic Association, vol. 101(7), pages 3253-3285, December.
    9. Petrova, Maria, 2008. "Inequality and media capture," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 183-212, February.
    10. 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.
    11. WHITE, STEPHEN & OATES, SARAH & McALLISTER, IAN, 2005. "Media Effects and Russian Elections, 1999–2000," British Journal of Political Science, Cambridge University Press, vol. 35(2), pages 191-208, April.
    12. Xianwen Kuang, 2020. "Self-Caging or Playing With the Edge? News Selection Autonomy in Authoritarian China," SAGE Open, , vol. 10(2), pages 21582440209, May.
    13. Gehlbach, Scott & Sonin, Konstantin, 2014. "Government control of the media," Journal of Public Economics, Elsevier, vol. 118(C), pages 163-171.
    14. Paul Milgrom & John Roberts, 1986. "Relying on the Information of Interested Parties," RAND Journal of Economics, The RAND Corporation, vol. 17(1), pages 18-32, Spring.
    15. Chris Edmond, 2013. "Information Manipulation, Coordination, and Regime Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1422-1458.
    16. 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.
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