@inproceedings{vetagiri-etal-2024-multilate,
    title = "{MULTILATE}: A Synthetic Dataset on {AI}-Generated {MULTI}moda{L} h{ATE} Speech",
    author = "Vetagiri, Advaitha  and
      Halder, Eisha  and
      Majumder, Ayanangshu Das  and
      Pakray, Partha  and
      Das, Amitava",
    editor = "Lalitha Devi, Sobha  and
      Arora, Karunesh",
    booktitle = "Proceedings of the 21st International Conference on Natural Language Processing (ICON)",
    month = dec,
    year = "2024",
    address = "AU-KBC Research Centre, Chennai, India",
    publisher = "NLP Association of India (NLPAI)",
    url = "https://preview.aclanthology.org/icon-24-ingestion/2024.icon-1.5/",
    pages = "285--295",
    abstract = "One of the pressing challenges society faces today is the rapid proliferation of online hate speech, exacerbated by the rise of AI-generated multimodal hate content. This new form of synthetically produced hate speech presents unprecedented challenges in detection and moderation. In response to the growing presence of such harmful content across social media platforms, this research introduces a groundbreaking solution:"
}