Public communication can facilitate low-risk coordination under surveillance

Author:

Korman Amos,Crescenzi Pierluigi

Abstract

AbstractConsider a sub-population of rebels aiming at initiating a revolution. To avoid initializing a failed revolution, rebels would first strive to estimate their “power”, which is often correlated with their number. However, especially in non-democratic countries, rebels avoid disclosing themselves. This poses a significant challenge for rebels: estimating their number while minimizing the risk of being identified as rebels. This paper introduces a distributed computing framework to study this question. Our main insight is that the communication pattern plays a crucial role in achieving such a task. Specifically, we distinguish between public communication, in which each message announced by an individual can be viewed by all its neighbors, and private communication, in which each message is received by one neighbor. We describe a simple protocol in the public communication model that allows rebels to estimate their number while keeping a negligible risk of being identified as rebels. The proposed protocol, inspired by historical events, can be executed covertly even under extreme conditions of surveillance. Conversely, we show that under private communication, protocols of similar simplicity are either inefficient or non-covert. These results suggest that public communication can facilitate the emergence of revolutions in non-democratic countries.

Funder

H2020 European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference44 articles.

1. Gurr, T. R. Why Men Rebel (Routledge, 2015).

2. Howard, P. N. & Hussain, M. M. Democracy’s Fourth Wave?: Digital Media and the Arab Spring (Oxford University Press, 2013).

3. Siani-Davies, P. The Romanian Revolution Of December 1989 (Cornell University Press, 2005).

4. Dinges, J. The Condor Years: How Pinochet and His Allies Brought Terrorism to Three Continents (The New Press, 2005).

5. Centola, D., Becker, J., Brackbill, D. & Baronchelli, A. Experimental evidence for tipping points in social convention. Science 360, 1116–1119 (2018).

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