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Social Networks and Protest Participation: Evidence from 130 Million Twitter Users
Author(s) -
Larson Jennifer M.,
Nagler Jonathan,
Ronen Jonathan,
Tucker Joshua A.
Publication year - 2019
Publication title -
american journal of political science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.347
H-Index - 170
eISSN - 1540-5907
pISSN - 0092-5853
DOI - 10.1111/ajps.12436
Subject(s) - interpersonal ties , attendance , social network (sociolinguistics) , social media , strong ties , network structure , political science , position (finance) , sociology , social psychology , psychology , computer science , business , law , finance , machine learning
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.