@inproceedings{pranesh-etal-2026-justicebots,
    title = "{J}ustice{B}ots@{LT}-{EDI} 2026: Prompt-Based Counter-Narrative Generation for Homophobia and Transphobia Comments",
    author = "Pranesh, TT  and
      K.K.Thamizhmathi  and
      Vigneshwaran, S  and
      B, Bharathi",
    editor = "Chakravarthi, Bharathi Raja  and
      B, Bharathi  and
      Buitelaar, Paul  and
      Thenmozhi, Durairaj  and
      Garc{\'i}a Cumbreras, Miguel {\'A}ngel  and
      Jim{\'e}nez Zafra, Salud Mar{\'i}a",
    booktitle = "Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion",
    month = jul,
    year = "2026",
    address = "Virtual (Online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.ltedi-1.21/",
    pages = "188--192",
    ISBN = "979-8-89176-424-8",
    abstract = "Online platforms increasingly host hate speechtargeting marginalized communities, includ-ing homophobic and transphobic commentsdirected at LGBTQ+ individuals. Counter-narratives provide a constructive way to re-spond to harmful speech by promoting em-pathy, factual clarification, and respectful di-alogue.In this work, we participate in the Shared Taskon Counter-Narrative Generation on Homopho-bic and Transphobic Comments at LT-EDI @ACL 2026. We adopt a zero-shot promptingapproach using large language models accessedthrough publicly available AI tools, includingGPT-4o, Gemini 1.5 Pro, and Llama-3 SonarLarge via Perplexity AI. Instead of traininga task-specific model, we design a structuredprompt that guides the models to generate re-spectful, concise, and contextually appropriatecounter-narratives.Experiments were conducted on English andTamil comments provided by the organiz-ers. Results demonstrate that prompt-basedgeneration can produce meaningful multilin-gual counter-narratives without additional train-ing. Our approach highlights the potential oflarge language models as lightweight tools forcounter-speech generation in multilingual on-line environments."
}