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Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
[article]
2021
arXiv
pre-print
Abuse on the Internet is an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse across various platforms. The psychological effects of abuse on individuals can be profound and lasting. Consequently, over the past few years, there has been a substantial research effort towards automated abusive language detection in the field of NLP. In this position paper, we discuss the role that modeling of users and online
arXiv:2103.17191v2
fatcat:o2ngw6bv5nexpjotlpngynkzw4