@inproceedings{derczynski-etal-2024-countering,
title = "Countering Hateful and Offensive Speech Online - Open Challenges",
author = "Derczynski, Leon and
Guerini, Marco and
Nozza, Debora and
Plaza-del-Arco, Flor Miriam and
Sorensen, Jeffrey and
Zampieri, Marcos",
editor = "Li, Jessy and
Liu, Fei",
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.emnlp-tutorials.2",
doi = "10.18653/v1/2024.emnlp-tutorials.2",
pages = "11--16",
abstract = "In today{'}s digital age, hate speech and offensive speech online pose a significant challenge to maintaining respectful and inclusive online environments. This tutorial aims to provide attendees with a comprehensive understanding of the field by delving into essential dimensions such as multilingualism, counter-narrative generation, a hands-on session with one of the most popular APIs for detecting hate speech, fairness, and ethics in AI, and the use of recent advanced approaches. In addition, the tutorial aims to foster collaboration and inspire participants to create safer online spaces by detecting and mitigating hate speech.",
}
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<abstract>In today’s digital age, hate speech and offensive speech online pose a significant challenge to maintaining respectful and inclusive online environments. This tutorial aims to provide attendees with a comprehensive understanding of the field by delving into essential dimensions such as multilingualism, counter-narrative generation, a hands-on session with one of the most popular APIs for detecting hate speech, fairness, and ethics in AI, and the use of recent advanced approaches. In addition, the tutorial aims to foster collaboration and inspire participants to create safer online spaces by detecting and mitigating hate speech.</abstract>
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%0 Conference Proceedings
%T Countering Hateful and Offensive Speech Online - Open Challenges
%A Derczynski, Leon
%A Guerini, Marco
%A Nozza, Debora
%A Plaza-del-Arco, Flor Miriam
%A Sorensen, Jeffrey
%A Zampieri, Marcos
%Y Li, Jessy
%Y Liu, Fei
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F derczynski-etal-2024-countering
%X In today’s digital age, hate speech and offensive speech online pose a significant challenge to maintaining respectful and inclusive online environments. This tutorial aims to provide attendees with a comprehensive understanding of the field by delving into essential dimensions such as multilingualism, counter-narrative generation, a hands-on session with one of the most popular APIs for detecting hate speech, fairness, and ethics in AI, and the use of recent advanced approaches. In addition, the tutorial aims to foster collaboration and inspire participants to create safer online spaces by detecting and mitigating hate speech.
%R 10.18653/v1/2024.emnlp-tutorials.2
%U https://aclanthology.org/2024.emnlp-tutorials.2
%U https://doi.org/10.18653/v1/2024.emnlp-tutorials.2
%P 11-16
Markdown (Informal)
[Countering Hateful and Offensive Speech Online - Open Challenges](https://aclanthology.org/2024.emnlp-tutorials.2) (Derczynski et al., EMNLP 2024)
ACL
- Leon Derczynski, Marco Guerini, Debora Nozza, Flor Miriam Plaza-del-Arco, Jeffrey Sorensen, and Marcos Zampieri. 2024. Countering Hateful and Offensive Speech Online - Open Challenges. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 11–16, Miami, Florida, USA. Association for Computational Linguistics.