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Although word and character n-grams have been used as features in different NLP applications, no systematic comparison or analysis has shown the power of character-based features for detecting abusive language. In this study, we investigate the effectiveness of such features for abusive language detection in user-generated online comments, and show that such methods outperform previous state-of-theart approaches and other strong baselines.doi:10.18653/v1/w16-3638 dblp:conf/sigdial/MehdadT16 fatcat:ayck5uos6rclth7kdlpoc74tje