[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing

MS Jahan, M Oussalah - Neurocomputing, 2023 - Elsevier
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

A literature review of textual hate speech detection methods and datasets

F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

Hatexplain: A benchmark dataset for explainable hate speech detection

B Mathew, P Saha, SM Yimam, C Biemann… - Proceedings of the …, 2021 - ojs.aaai.org
Hate speech is a challenging issue plaguing the online social media. While better models
for hate speech detection are continuously being developed, there is little research on the …

Resources and benchmark corpora for hate speech detection: a systematic review

F Poletto, V Basile, M Sanguinetti, C Bosco… - Language Resources …, 2021 - Springer
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

Semeval-2023 task 10: Explainable detection of online sexism

HR Kirk, W Yin, B Vidgen, P Röttger - ar** an online hate classifier for multiple social media platforms
J Salminen, M Hopf, SA Chowdhury, S Jung… - … -centric Computing and …, 2020 - Springer
The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …