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Calls to Action on Social Media: Potential for Censorship and Social Impact

  • University of Massachusetts
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2019

Publication status

Published - 2019

Host publication title

EMNLP-IJCNLP 2019 Second Workshop on Natural Language Processing for Internet Freedom

Abstract

Calls to action on social media are known to be effective means of mobilization in social movements, and a frequent target of censorship. We investigate the possibility of their automatic detection and their potential for predicting real-world protest events, on historical data of Bolotnaya protests in Russia (2011-2013). We find that political calls to action can be annotated and detected with relatively high accuracy, and that in our sample their volume has a moderate positive correlation with rally attendance.