Domestic abuse affects people of every race, class, age, and nation. There is significant research on the prevalence and effects of domestic abuse; however, such research typically involves population-based surveys that have high financial costs. This work provides a qualitative analysis of domestic abuse using data collected from the social and news-aggregation website reddit.com. We develop classifiers to detect submissions discussing domestic abuse, achieving accuracies of up to 92%, a substantial error reduction over its baseline. Analysis of the top features used in detecting abuse discourse provides insight into the dynamics of abusive relationships.
CITATION STYLE
Schrading, N., Alm, C. O., Ptucha, R., & Homan, C. M. (2015). An analysis of domestic abuse discourse on reddit. In Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing (pp. 2577–2583). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d15-1309
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