Directions in Abusive Language Training Data: Garbage In, Garbage Out

Bertie Vidgen; Leon Derczynski

Directions in Abusive Language Training Data: Garbage In, Garbage Out

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arxiv 2004.01670 v3 pith:EIDBUXB3 submitted 2020-04-03 cs.CL

Bertie Vidgen , Leon Derczynski This is my paper · ORCID

classification cs.CL

keywords abusivedatalanguagecontentgarbageanalysiscataloguingcollection

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Data-driven analysis and detection of abusive online content covers many different tasks, phenomena, contexts, and methodologies. This paper systematically reviews abusive language dataset creation and content in conjunction with an open website for cataloguing abusive language data. This collection of knowledge leads to a synthesis providing evidence-based recommendations for practitioners working with this complex and highly diverse data.

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