Automatic Identification of Hate Speech – A Case-Study of alt-Right YouTube Videos [version 1; peer review: 2 approved]

Background Identifying hate speech (HS) is a central concern within online contexts. Current methods are insufficient for efficient preemptive HS identification. In this study, we present the results of an analysis of automatic HS identification applied to popular alt-right YouTube videos. Methods T...

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Bibliographic Details

Published in:	F1000Research
Main Authors:	Mathias Johansson, Johan Eddebo, Mika Hietanen
Format:	Article
Language:	English
Published:	F1000 Research Ltd 2024-04-01
Subjects:	Automatic hate speech identification; Hate speech; alt-right; YouTube; interdisciplinary research eng
Online Access:	https://f1000research.com/articles/13-328/v1