Can You Hear Me Now? How Communication Technology Affects Protest and Repression
Open accessAbstract
Commentators covering recent social movements, such as the Arab Spring, commonly claim that cell phones enable protests. Yet, existing empirical work does not conclusively support this contention: some studies find that these technologies actually reduce collective action; many others struggle to overcome the selection problems that dog observational research. We propose two mechanisms through which cell phones affect protests: (1) by enabling communication among would-be protesters, cell phones lower coordination costs; and (2) these technologies broadcast information about whether a protest is repressed. Knowing that a larger audience now witnesses and may be angered by repression, governments refrain from squashing demonstrations, further lowering the cost of protesting. We evaluate these mechanisms using high-resolution global data on the expansion of cell phone coverage and incidence of protest from 2007 to 2014. Our difference-in-differences estimates indicate that cell phone coverage increases the probability of protest by over half the mean. Consistent with our second mechanism, we also find that gaining coverage has a larger effect when it connects a locality to a large proportion of other citizens.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Information and communication technology, especially many-to-many platforms like Twitter and Facebook, can facilitate the quick and public dissemination of information about anticipated or ongoing collective action.
“Third, information and communication technology (ICT), and especially many-to-many platforms like Twitter and Facebook, can facilitate the quick and public dissemination of information about anticipated or ongoing collective action (Christensen and Garfias 2018; Clarke and Kocak 2019; Enikolopov, Makarine, and Petrova 2020; Steinert-Threlkeld 2017).”
From Coordinated Dis-Coordination (2024) · cites this paper as Christensen and Garfias 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 40 · Cited by 72
Research works printed but not linked: 36
- Aumann RJ 1976 “ Agreeing to Disagree”. The Annals of Statistics 4: 1236– 9.
- Autor DH 2003 “ Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing”. Journal of Labor Economics 21(1): 1– 42.
- Caren N and Gaby S. 2011 “ Occupy Online: Facebook and the Spread of Occupy Wall Street”. Working Paper, https://ssrn.com/abstract=1943168.
- Chen X and Nordhaus WD. 2011 “ Using Luminosity Data As A Proxy For Economic Statistics”. Proceedings of the National Academy of Sciences 108(21): 8589– 94. PMC3102367 21576474
- Christensen D 2017 “ The Geography of Repression in Africa”. Journal of Conflict Resolution.
- Christensen D and Weinstein JM. 2013 “ Defunding Dissent”. Journal of Democracy 24(2): 77– 91.
- Chwe MS-Y 2001 Rational Ritual: Culture, Coordination, and Common Knowledge. Princeton University Press.
- Doll CNH, Muller J-P, and Morley JG. 2006 “ Mapping Regional Economic Activity from Night-Time Light Satellite Imagery”. Ecological Economics 57(1): 75– 92.
- Goldstone JA and Tilly C. 2009 “ Threat (and Opportunity): Popular Action and State Response in the Dynamics of Contentious Action”. In: Silence and Voice in the Study of Contentious Politics. Ed. Aminzade RR, Goldstone JA, McAdam D, Perry EJ, Sewell WH Jr., Tarrow S, and Tilley C. Cambridge: Cambridge University Press, 179– 94.
- Hafner-Burton EM 2005 “ Trading Human Rights: How Preferential Trade Agreements Influence Government Repression”. International Organization 59(03): 593– 629.
- Hassanpour N 2014 “ Media Disruption and Revolutionary Unrest: Evidence from Mubarak’s Quasi-Experiment”. Political Communication 31(1): 1– 24.
- Hendrix C and Wong W. 2013 “ When Is the Pen Truly Mighty? Regime Type and the Efficacy of Naming and Shaming in Curbing Human Rights Abuses”. British Journal of Political Science 43(3): 651– 72.
- Kelly Garrett R 2006 “ Protest in an Information Society: A Review of Literature on Social Movements and New ICTs”. Information, Communication & Society 9(2): 202– 24.
- Kern HL and Hainmueller J. 2009 “ Opium for the Masses: How Foreign Media Can Stabilize Authoritarian Regimes”. Political Analysis 17(4): 377– 99.
- King G, Pan J, and Roberts ME. 2013 “ How Censorship in China Allows Government Criticism but Silences Collective Expression”. American Political Science Review 107(02): 326– 43.
- Kuran T 1991 “ Now Out Of Never: The Element of Surprise in the East European Revolution of 1989”. World Politics 44(01): 7– 48.
- Lawrence A 2017 “ Repression and Activism among the Arab Spring’s First Movers: Morocco’s (Almost) Revolutionaries”. British Journal of Political Science 47(3): 699– 718.
- Lichbach M 1984 “ An Economic Theory of Governability: Choosing Policy and Optimizing Performance”. Public Choice 44(2): 307– 37.
- Little AT 2016 “ Communication Technology and Protest”. The Journal of Politics 78(1): 152– 66.
- Manacorda M and Tesei A. 2016 “ Liberation Technology: Mobile Phones and Political Mobilization in Africa”. Working Paper, pp. 1– 73.
- Opp K-D and Roehl W. 1990 “ Repression, Micromoblization, and Political Protest”. Social Forces 69(2): 521– 47.
- Patel DS 2007 “ Islam, Information, and Social Order: The Strategic Role of Religion in Muslim Societies”. PhD Dissertation, Department of Political Science, Stanford University, Stanford, CA.
- Pierskalla JH 2010 “ Protest, Deterrence, and Escalation: The Strategic Calculus of Government Repression”. Journal of Conflict Resolution 54(1): 117– 45.
- Pierskalla JH and Hollenbach FM. 2013 “ Technology and Collective Action: The Effect of Cell Phone Coverage on Political Violence in Africa”. American Political Science Review 107(2): 207– 24.
- Rubinstein A 1989 “ The Electronic Mail Game: Strategic Behavior Under “Almost Common Knowledge”“. The American Economic Review 79(3): 385– 91.
- Selian A 2001 “ 3G Mobile Licensing Policy: From GSM to IMT-2000 — A Comparative Analysis”. Proceedings from the 3G Licensing Workshop.
- Shapiro JN and Siegel DA. 2015 “ Coordination and Security: How Mobile Communications Affect Insurgency”. Journal of Peace Research 53(3): 312– 22.
- Shapiro JN and Weidmann N. 2015 “ Is the Phone Mightier than the Sword? Cell Phones and Insurgent Violence in Iraq “. International Organization 69(2): 247– 74.
- Siegel DA 2011 “ When Does Repression Work? Collective Action in Social Networks”. The Journal of Politics 73(04): 993– 1010.
- Tufekci Z and Wilson C. 2012 “ Social Media and the Decision to Participate in Political Protest: Observations From Tahrir Square”. Journal of Communication 62(2): 363– 79.
- Walter BF 2006 “ Building Reputation: Why Governments Fight Some Separatists But Not Others”. American Journal of Political Science 50(2): 313– 30.
- Warren TC 2015 “ Explosive Connections? Mass Media, Social Media, and the Geography of Collective Violence in African States”. Journal of Peace Research 52(3): 297– 311.
- Weidmann N 2015 “ A Closer Look at Reporting Bias in Conflict Event Data”. American Journal of Political Science: 1– 13.
- Weidmann NB and Shutte S. 2017 “ Using Night Light Emissions for the Prediction of Local Wealth”. Journal of Peace Research 54(2): 125– 40.
- Whitten-Woodring J and Van Belle DA. 2014 Historical Guide to World Media Freedom: A Country-by-Country Analysis. Sage/CQ Press.
- Yanagizawa-Drott D 2014 “ Propaganda and Conflict: Evidence from the Rwandan Genocide”. The Quarterly Journal of Economics 129(4): 1947– 94.
- Authors
- Christensen, D., & Garfias, F.
- Affiliations
- University of California, Los Angeles (US)
- University of California San Diego (US)
- Venue
- Quarterly Journal of Political Science
- Publisher
- Emerald
- Published
- 2018-03-29
- Volume
- 13
- Issue
- 1
- Pages
- 89-117
- ISSN
- 1554-0626 (ISSN-L)
- 1554-0634
- PMC
- PMC6461378
- OpenAlex
- W2240568851
- Cited by
- 72
- References
- 40
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 9 · 2023: 7 · 2022: 11 · 2021: 13 · 2020: 8 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 1
- FWCI
- 14.79
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Quarterly Journal of Political Science (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041022)
- Topics
- Social Sciences › Sociology and Political Science › Political Conflict and Governance
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › Political and Social Issues
- Keywords
- communication technology, protest, repression, collective action, coordination costs, information dissemination, social movements, Arab Spring, network effects
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review