Deciphering implicit hate: evaluating automated detection algorithms for multimodal hate

Accurate detection and classification of online hate is a difficult task. Implicit hate is particularly challenging as such content tends to have unusual syntax, polysemic words, and fewer markers of prejudice (e.g., slurs). This problem is heightened with multimodal content, such as memes (combinat...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Botelho, A, Hale, S, Vidgen, B
Format: Journal article
Sprache:English
Veröffentlicht: Association for Computational Linguistics 2021