TY - JOUR
T1 - Connective action or collective inertia? Emotion, cognition, and the limits of digitally networked resistance
AU - Shahin, Saif
AU - Ng, Yee Man Margaret
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - Connective action, or individuals networking with each other online to form social movements, rarely leads to lasting change. In this study, we argue that such movements are ultimately ineffective because they struggle to sustain themselves over time and identify the reasons behind their transience. Our analysis focuses on Twitter conversations about Aadhaar, a biometric ID project that has raised concerns about data privacy and civil liberty in India, the world’s largest democracy. A computational mixed-methods approach incorporating social network analysis, sentiment analysis, and structural topic modeling demonstrates that connective action against Aadhaar failed to produce a sustained discourse of resistance, with people’s feelings toward and beliefs about Aadhaar vacillating sharply. The analysis draws attention to the power of brick-and-mortar social institutions, including the state and its agencies, political parties, courts, technology companies, and ‘legacy’ news media, in shaping and reshaping seemingly bottom-up discourses on digital platforms. It also identifies three interlinked weaknesses of connective action–the individualized nature of mobilization, excessive flexibility of social networks, and a negative emotional culture. We contend that in order to be effective, contemporary social movements need to utilize digital technologies for ‘collective’ action by forging collective identities that bind participants affectively and cognitively, empower them against structures of social control, and enable them to commit to non-personal and long-term objectives.
AB - Connective action, or individuals networking with each other online to form social movements, rarely leads to lasting change. In this study, we argue that such movements are ultimately ineffective because they struggle to sustain themselves over time and identify the reasons behind their transience. Our analysis focuses on Twitter conversations about Aadhaar, a biometric ID project that has raised concerns about data privacy and civil liberty in India, the world’s largest democracy. A computational mixed-methods approach incorporating social network analysis, sentiment analysis, and structural topic modeling demonstrates that connective action against Aadhaar failed to produce a sustained discourse of resistance, with people’s feelings toward and beliefs about Aadhaar vacillating sharply. The analysis draws attention to the power of brick-and-mortar social institutions, including the state and its agencies, political parties, courts, technology companies, and ‘legacy’ news media, in shaping and reshaping seemingly bottom-up discourses on digital platforms. It also identifies three interlinked weaknesses of connective action–the individualized nature of mobilization, excessive flexibility of social networks, and a negative emotional culture. We contend that in order to be effective, contemporary social movements need to utilize digital technologies for ‘collective’ action by forging collective identities that bind participants affectively and cognitively, empower them against structures of social control, and enable them to commit to non-personal and long-term objectives.
KW - Twitter
KW - emotion
KW - influencer
KW - sentiment analysis
KW - social movement
KW - topic modeling
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U2 - 10.1080/14742837.2021.1928485
DO - 10.1080/14742837.2021.1928485
M3 - Article
AN - SCOPUS:85106466269
SN - 1474-2837
VL - 21
SP - 530
EP - 548
JO - Social Movement Studies
JF - Social Movement Studies
IS - 4
ER -