Sentiment cascades in the 15M movement
Raquel Alvarez, David Garcia, Yamir Moreno, Frank Schweitzer

TL;DR
This study analyzes online social network data from the 15M movement in Spain, revealing that negative emotions and social content in messages amplify activity and information cascades, highlighting the role of non-rational factors in social mobilization.
Contribution
First large-scale analysis linking collective emotions and social content to movement dynamics using digital traces from social media.
Findings
Negative emotions correlate with larger activity cascades
Social content expression increases social integration
Non-rational factors influence viral spreading in social movements
Abstract
Recent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to help coordinate their mobilization. The structure and dynamics of the networks constructed from the digital traces of protesters have been analyzed to some extent recently. However, less effort has been devoted to the analysis of the semantic content of messages exchanged during the protest. Using the data obtained from a microblogging service during the brewing and active phases of the 15M movement in Spain, we perform the first large scale test of theories on collective emotions and social interaction in collective actions. Our findings show that activity and information cascades in the movement are larger in the presence of negative collective emotions and when users express themselves in terms related to…
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