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.
| Original language | English |
|---|---|
| Title of host publication | EMNLP-IJCNLP 2019 Second Workshop on Natural Language Processing for Internet Freedom |
| Publication date | 2019 |
| Publication status | Published - 2019 |
Keywords
- Social media mobilization
- Censorship detection
- Political calls to action
- Protest prediction
- Bolotnaya protests analysis