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Social Networks and Protest Participation

Evidence from 130 Million Twitter Users

Bibliographic Data

ID6231045
AuthorsJennifer M Larson (0000-0001-7681-2935, Vanderbilt University), Jonathan Nagler (0000-0001-6918-9428, New York University), Jonathan Ronen (0000-0003-3980-6469, Berlin Institute for Medical Systems Biology), Joshua A Tucker (0000-0003-1321-8650, New York University)
Year2019
Volume63
Issue3
Pages690-705
Publication date2019-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ajps.12436
OpenAlexW3121228507
LanguageEN
Citations received55
References cited27

Pinning down the role of social ties in the decision to protest has been notoriously elusive, largely due to data limitations. Social media and their global use by protesters offer an unprecedented opportunity to observe real‐time social ties and online behavior, though often without an attendant measure of real‐world behavior. We collect data on Twitter activity during the 2015 Charlie Hebdo protest in Paris, which, unusually, record real‐world protest attendance and network structure measured beyond egocentric networks. We devise a test of social theories of protest that hold that participation depends on exposure to others' intentions and network position determines exposure. Our findings are strongly consistent with these theories, showing that protesters are significantly more connected to one another via direct, indirect, triadic, and reciprocated ties than comparable nonprotesters. These results offer the first large‐scale empirical support for the claim that social network structure has consequences for protest participation

Attendance · Business · Interpersonal ties · Network structure · Political science · Position (finance · Social media · Social network (sociolinguistics · Sociology · Strong ties · Computer Science · Law · Opinion Dynamics and Social Influence · Psychology · Social Capital and Networks · Social Media and Politics · Social Psychology

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Unique citing works55
Citations per year4,58
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 55

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