A collective action or revolt succeeds only if sufficiently many people participate. We study how potential revolutionaries’ ability to coordinate is affected by what they learn from different sources. We first examine how people learn about the likelihood of a revolution’s success by talking to those around themselves, which can either work in favor or against the success of an uprising, depending on the prior beliefs of the agents, the homogeneity of preferences in the population, and the number of contacts. We extend the analysis by examining the effects of homophily on learning: people are more likely to meet others who have similar preferences, undercutting learning. We introduce variants of our model to discuss other ways of learning about the support for a revolution. We discuss why holding mass protests before a revolt provides more informative signals of people’s willingness to actively participate than other less costly forms of communication (e.g., via social media). We also show how outcomes of revolutions in one region can inform citizens of another region and thus trigger (or discourage) neighboring revolutions. We also discuss the role of governments in avoiding revolutions and learning about their citizens’ concerns; in particular, by observing the strength of protests and counter-protests.
A Model of Protests, Revolution, and Information
Barbera acknowledges financial support from the Spanish Ministry of Economy, Industry and Competitiveness, through the Severo Ochoa Program for Centers of Excellence in R and D (SEV-2015- 0563) and grant ECO2017-83534-P and FEDER, and from the Generalitat de Catalunya, through grant 2017SGR711. Jackson is an external faculty member at the Santa Fe Institute and a member of CIFAR. Email: and jacksonm@stanford.edu. He gratefully acknowledges financial support under ARO MURI Award No. W911NF-12-1-0509. We thank Ernesto Dal Bo and Santiago Oliveros for their very helpful discussions and suggestions. We also thank Daron Acemoglu, Avi Acharya, Dan Bernhardt, Ethan Bueno de Mesquita, Raphael Boleslavsky, Steve Callendar, Ying Chen, Georgy Egerov, Jon Eguia, Hulya Eraslan, Navid Hassanpour, Navin Kartik, Dániel Pass, Arturas Rozenas, Mehdi Shadmehr, Scott Tyson, participants of various seminars and conferences, and a co-editor and referees for their helpful comments.
Barbera S, Jackson MO (2020), "A Model of Protests, Revolution, and Information". Quarterly Journal of Political Science, Vol. 15 No. 3 pp. 297–335, doi: https://doi.org/10.1561/100.00019002
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