Paper Number

2286

Paper Type

Complete Research Paper

Abstract

This study presents insights into how previously unconnected individuals in online information campaigns coalesce into purposeful, tactical groups oriented toward collective action. The emerging mobilization dynamics show how movements leverage resources and gather momentum. Using Twitter data, our approach investigates the sociological and cognitive processes underlying online social movements using social-technical analysis and NLP methods. Our approach centers on comprehending the formation of collective identity during the political protests in the Brazil and US Presidential Elections. The research scrutinizes the efficacy of mobilizing resources during social movements. Our findings reveal increased sympathetic support within anti-government groups in the time leading up to the respective Capitol protest events, whereas loyalty and solidarity increased for pro-government groups. We demonstrate the networks become increasingly cohesive leading up to the protest events by measuring network modularity. Finally, our approach demonstrates the narratives’ alignment leading up to the Capitol events in the US and Brazil.

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Jun 14th, 12:00 AM

SOLIDARITY TO STORMING: ASSESSING THE SOCIO-TECHNICAL FACTORS BEHIND MODERN SOCIAL MOVEMENTS

This study presents insights into how previously unconnected individuals in online information campaigns coalesce into purposeful, tactical groups oriented toward collective action. The emerging mobilization dynamics show how movements leverage resources and gather momentum. Using Twitter data, our approach investigates the sociological and cognitive processes underlying online social movements using social-technical analysis and NLP methods. Our approach centers on comprehending the formation of collective identity during the political protests in the Brazil and US Presidential Elections. The research scrutinizes the efficacy of mobilizing resources during social movements. Our findings reveal increased sympathetic support within anti-government groups in the time leading up to the respective Capitol protest events, whereas loyalty and solidarity increased for pro-government groups. We demonstrate the networks become increasingly cohesive leading up to the protest events by measuring network modularity. Finally, our approach demonstrates the narratives’ alignment leading up to the Capitol events in the US and Brazil.

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