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Aggressive language in an online hacking forum
2018
Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
We probe the heterogeneity in levels of abusive language in different sections of the Internet, using an annotated corpus of Wikipedia page edit comments to train a binary classifier for abuse detection. Our test data come from the CrimeBB Corpus of hacking-related forum posts and we find that (a) forum interactions are rarely abusive, (b) the abusive language which does exist tends to be relatively mild compared to that found in the Wikipedia comments domain, and tends to involve aggressive
doi:10.18653/v1/w18-5109
dblp:conf/acl-alw/CainesPHB18
fatcat:bcpndc5n4vbnzn3py3gnshpkqi