@inproceedings{wong-2024-social,
title = "What is the social benefit of hate speech detection research? A Systematic Review",
author = "Wong, Sidney Gig-Jan",
editor = "Dementieva, Daryna and
Ignat, Oana and
Jin, Zhijing and
Mihalcea, Rada and
Piatti, Giorgio and
Tetreault, Joel and
Wilson, Steven and
Zhao, Jieyu",
booktitle = "Proceedings of the Third Workshop on NLP for Positive Impact",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.nlp4pi-1.1",
doi = "10.18653/v1/2024.nlp4pi-1.1",
pages = "1--12",
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.",
}
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%0 Conference Proceedings
%T What is the social benefit of hate speech detection research? A Systematic Review
%A Wong, Sidney Gig-Jan
%Y Dementieva, Daryna
%Y Ignat, Oana
%Y Jin, Zhijing
%Y Mihalcea, Rada
%Y Piatti, Giorgio
%Y Tetreault, Joel
%Y Wilson, Steven
%Y Zhao, Jieyu
%S Proceedings of the Third Workshop on NLP for Positive Impact
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F wong-2024-social
%X 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.
%R 10.18653/v1/2024.nlp4pi-1.1
%U https://aclanthology.org/2024.nlp4pi-1.1
%U https://doi.org/10.18653/v1/2024.nlp4pi-1.1
%P 1-12
Markdown (Informal)
[What is the social benefit of hate speech detection research? A Systematic Review](https://aclanthology.org/2024.nlp4pi-1.1) (Wong, NLP4PI 2024)
ACL