What is the social benefit of hate speech detection research? A Systematic Review

Sidney Gig-Jan Wong


Abstract
While NLP research into hate speech detection has grown exponentially in the last three decades, there has been minimal uptake or engagement from policy makers and non-profit organisations. We argue the absence of ethical frameworks have contributed to this rift between current practice and best practice. By adopting appropriate ethical frameworks, NLP researchers may enable the social impact potential of hate speech research. This position paper is informed by reviewing forty-eight hate speech detection systems associated with thirty-seven publications from different venues.
Anthology ID:
2024.nlp4pi-1.1
Volume:
Proceedings of the Third Workshop on NLP for Positive Impact
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Daryna Dementieva, Oana Ignat, Zhijing Jin, Rada Mihalcea, Giorgio Piatti, Joel Tetreault, Steven Wilson, Jieyu Zhao
Venue:
NLP4PI
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–12
Language:
URL:
https://aclanthology.org/2024.nlp4pi-1.1
DOI:
10.18653/v1/2024.nlp4pi-1.1
Bibkey:
Cite (ACL):
Sidney Gig-Jan Wong. 2024. What is the social benefit of hate speech detection research? A Systematic Review. In Proceedings of the Third Workshop on NLP for Positive Impact, pages 1–12, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
What is the social benefit of hate speech detection research? A Systematic Review (Wong, NLP4PI 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.nlp4pi-1.1.pdf