Calls to Action on Social Media: Potential for Censorship and Social Impact
- ,
- Olga Kovaleva,
- Anna Rumshisky
- University of Massachusetts
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 2019
Publication status
Published - 2019
Host publication title
EMNLP-IJCNLP 2019 Second Workshop on Natural Language Processing for Internet FreedomAbstract
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.
