Data & Society > our work > paper > Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression

paper | 10.11.16

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

Terra Blevins, Robert Kwiatkowski, Jamie C. Macbeth, Kathleen Mckeown, Desmond Patton, Owen Rambow

D&S affiliate Desmond Patton, with Terra Blevins, Robert Kwiatkowski, Jamie C. Macbeth, Kathleen Mckeown, and Owen Rambow, wrote this paper exploring a body of texts from a female gang member and examine patterns of speech that indicate an aggression trigger.

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.

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