@inproceedings{tan-etal-2025-safespeech,
    title = "{S}afe{S}peech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations",
    author = "Tan, Xingwei  and
      Lyu, Chen  and
      Umer, Hafiz Muhammad  and
      Khan, Sahrish  and
      Parvatham, Mahathi  and
      Arthurs, Lois  and
      Cullen, Simon  and
      Wilson, Shelley  and
      Jhumka, Arshad  and
      Pergola, Gabriele",
    editor = "Dziri, Nouha  and
      Ren, Sean (Xiang)  and
      Diao, Shizhe",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.naacl-demo.31/",
    pages = "361--382",
    ISBN = "979-8-89176-191-9",
    abstract = "Detecting toxic language, including sexism, harassment, and abusive behaviour, remains a critical challenge, particularly in its subtle and context-dependent forms. Existing approaches largely focus on isolated message-level classification, overlooking toxicity that emerges across conversational contexts. To promote and enable future research in this direction, we introduce *SafeSpeech*, a comprehensive platform for toxic content detection and analysis that bridges message-level and conversation-level insights. The platform integrates fine-tuned classifiers and large language models (LLMs) to enable multi-granularity detection, toxic-aware conversation summarization, and persona profiling. *SafeSpeech* also incorporates explainability mechanisms, such as perplexity gain analysis, to highlight the linguistic elements driving predictions. Evaluations on benchmark datasets, including EDOS, OffensEval, and HatEval, demonstrate the reproduction of state-of-the-art performance across multiple tasks, including fine-grained sexism detection."
}