Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression

Authors

Terra Blevins, Columbia University
Robert Kwiatkowski, Columbia University
Jamie C. Macbeth, Fairfield UniversityFollow
Kathleen McKeown, Columbia University
Desmond Patton, Columbia University
Owen Rambow, Columbia University

Document Type

Conference Proceeding

Publication Date

1-1-2016

Publication Title

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

Abstract

Violence is a serious problems for cities like Chicago and has been exacerbated by the use of social media by gang-involved youths for taunting rival gangs. We present a corpus of tweets from a young and powerful female gang member and her communicators, which we have annotated with discourse intention, using a deep read to understand how and what triggered conversations to escalate into aggression. We use this corpus to develop a part-of-speech tagger and phrase table for the variant of English that is used, as well as a classifier for identifying tweets that express grieving and aggression.

First Page

2196

Last Page

2206

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Comments

Archived as published.

Recommended Citation

Blevins, Terra; Kwiatkowski, Robert; Macbeth, Jamie C.; McKeown, Kathleen; Patton, Desmond; and Rambow, Owen, "Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression" (2016). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/166