Social Media Censorship in Times of Political Unrest - A Social Simulation Experiment with the UK Riots
Bibliographic Data
| ID | 7533707 |
|---|---|
| Authors | Antonio A Casilli (0000-0003-2025-1627, Telecom ParisTech and EHESS, Paris, France, corresponding author), P Tubaro (0000-0002-1215-9145, University of Greenwich, London, and CNRS, Paris) |
| Year | 2012 |
| Volume | 115 |
| Issue | 1 |
| Pages | 5-20 |
| Publication date | 2012-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique (JOURNAL) |
| Journal identifiers | ISSN: 0759-1063 • E-ISSN: 2070-2779 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0759106312445697 |
| OpenAlex | W2150890310 |
| Language | EN |
| Citations received | 9 |
| References cited | 8 |
Following the 2011 wave of political unrest, extending from the Arab Spring to the UK riots, the formation of a large consensus around Internet censorship is underway. The present paper adopts a social simulation approach to show that the decision to “regulate”, filter or censor social media in situations of unrest changes the pattern of civil protest and ultimately results in higher levels of violence. Building on Epstein's (2002) agent-based model, several alternative scenarios are generated. The systemic optimum, represented by complete absence of censorship, not only corresponds to lower levels of violence over time, but allows for significant periods of social peace after each outburst
Censorship · Criminology · Media studies · Political economy · Political science · Politics · Social media · Social unrest · Sociology · The Internet · Unrest · Computer Science · Evolutionary Game Theory and Cooperation · Law · Opinion Dynamics and Social Influence · Social Media and Politics
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| Citations per year | 0.82 |
|---|---|
| Citation span | 2015 - 2026 (12) |
| Highly cited | No |