@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.",
}