Papers › Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest

Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest

1 Nov 2020EMNLP (WNUT) 2020 11archive 2025-07-28

Justin Sech, Alexandra DeLucia, Anna L. Buczak, Mark Dredze

We present CUT, a dataset for studying Civil Unrest on Twitter. Our dataset includes 4,381 tweets related to civil unrest, hand-annotated with information related to the study of civil unrest discussion and events. Our dataset is drawn from 42 countries from 2014 to 2019. We present baseline systems trained on this data for the identification of tweets related to civil unrest. We include a discussion of ethical issues related to research on this topic.

PaperPDFCode

Code

aadelucia/jhu-cut officialmentioned in paper report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections