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Social Media Censorship in Times of Political Unrest - A Social Simulation Experiment with the UK Riots

Name: Social Media Censorship in Times of Political Unrest - A Social Simulation Experiment with the UK Riots
Keywords: UK Civil Violence, Internet Censorship, Agent-based Modelling, Social Simulation, Social Media, Flash Mobs, Violence civile au Royaume-Uni, Censure de l'Internet, Modèles de simulation multi-agents, Simulation sociale

descriptionPublicationkeyboard_double_arrow_right Article 04 Jul 2012 English HAL CCSD

Antonio A. Casilli; Paola Tubaro;

doi: 10.1177/0759106312445697

Social Media Censorship in Times of Political Unrest - A Social Simulation Experiment with the UK Riots

- Summary
- Subjects
- References
  (12)
- Metrics

Abstract

International audience; 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.; A la suite de la vague d'agitation politique de 2011, allant du printemps arabe aux émeutes britanniques, la formation d'un large consensus autour de la censure de l'Internet est en cours. Cet article adopte une approche de simulation sociale pour montrer que la décision de réglementer, de filtrer ou de censurer les médias sociaux dans des situations de conflit change les formes de la contestation, et aboutit finalement à des niveaux plus élevés de violence. Dans un développement du modèle à base d'agents de Epstein (2002), plusieurs scénarios alternatifs sont créés. L'optimum systémique, représenté par l'absence complète de la censure, non seulement correspond à des niveaux plus faibles de violence dans le temps, mais permet de connaître de longues périodes de paix sociale après chaque éclatement.

Countries

France, United Kingdom, France

Related Organizations

Subjects by Vocabulary

Microsoft Academic Graph classification: Unrest Censorship media_common.quotation_subject media_common Internet censorship Social simulation Social psychology Filter (software) Political economy Politics Social media Sociology

Keywords

UK Civil Violence, Internet Censorship, Agent-based Modelling, Social Simulation, Social Media, Flash Mobs, Violence civile au Royaume-Uni, Censure de l'Internet, Modèles de simulation multi-agents, Simulation sociale, Médias sociaux, Flash mobs., [SHS.SOCIO]Humanities and Social Sciences/Sociology, HM, Sociology and Political Science

12 references, page 1 of 2

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Banos A (2010) La simulation à base d'agents en sciences sociales - Une « béquille pour l'esprit humain » ? Nouvelles Perspectives en Sciences Sociales 5(2): 91- 100.

boyd d and Crawford K (2011) Six Provocations for Big Data. SSRN eLibrary, 21 September. Available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1926431#122782.

Burawoy M (2009) The Extended Case Method: Four Countries, Four Decades, Four Great Transformations, and One Theoretical Tradition. Berkeley and Los Angeles, CA: University of California Press. [OpenAIRE]

Epstein JM (2002) Modeling Civil Violence: An Agent-based Computational Approach. Proceedings of the National Academy of Sciences of the United States of America 99(3): 7243-50.

Fuchs C (2011) Social Media and the UK Riots: Twitter Mobs, Facebook Mobs, Blackberry Mobs and the Structural Violence of Neoliberalism. Information - Society - Technology and Media, Blog, 10 August. Available at http://fuchs.uti.at/667/.

Garcia D and Lovink G (1997) The ABC of Tactical Media. Manifest, World Wide Web. Available at http://subsol.c3.hu/subsol_2/contributors2/garcialovinktext.html.

Garlick M and Chli M (2009) The Effect of Social Influence and Curfews on Civil Violence. Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, volume 2. Budapest, Hungary: International Foundation for Autonomous Agents and Multiagent Systems, 1335-36. µAvailable at http://portal.acm.org/citation.cfm?id=1558109.1558281.

Kim JW and Hanneman R (2011) A Computational Model of Worker Protest. Journal of Artificial Societies and Social Simulation 14(3). Available at http://jasss.soc.surrey.ac.uk/14/3/1.html. [OpenAIRE]

Klemens B, Epstein JM, Hammond RA and Raifman MA (2010) Empirical Performance of a Decentralized Civil Violence Model. Brookings Institution Center on Social and Economic Dynamics Working Paper, n. 56.

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	15
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	6
download	downloads	628

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	15
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average