Countering Hateful and Offensive Speech Online - Open Challenges

Leon Derczynski, Marco Guerini, Debora Nozza, Flor Miriam Plaza-del-Arco, Jeffrey Sorensen, Marcos Zampieri


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.
Anthology ID:
2024.emnlp-tutorials.2
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Jessy Li, Fei Liu
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
11–16
Language:
URL:
https://aclanthology.org/2024.emnlp-tutorials.2
DOI:
10.18653/v1/2024.emnlp-tutorials.2
Bibkey:
Cite (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.
Cite (Informal):
Countering Hateful and Offensive Speech Online - Open Challenges (Derczynski et al., EMNLP 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.emnlp-tutorials.2.pdf