@inproceedings{prama-etal-2026-gender,
    title = "Gender Disparities in {LLM}-Based Intimate Partner Violence Detection",
    author = "Prama, Tabia Tanzin  and
      Fudolig, Mikaela Irene  and
      Crocker, Abigail M.  and
      Danforth, Christopher M.  and
      Dodds, Peter",
    editor = "Card, Dallas  and
      Field, Anjalie  and
      Keith, Katherine  and
      Mendelsohn, Julia",
    booktitle = "Proceedings of the Seventh Workshop on Natural Language Processing and Computational Social Science",
    month = jul,
    year = "2026",
    address = "San Diego",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.nlpcss-1.13/",
    pages = "190--197",
    ISBN = "979-8-89176-426-2",
    abstract = "Intimate Partner Violence (IPV) is a major public health concern, and large language models (LLMs) are increasingly used for support and information-seeking in sensitive domains. We examine whether LLMs perceive relationship abuse differently depending on victim{--}perpetrator gender configuration. Using 475 Reddit posts from r/relationship{\_}advice, we generate counterfactual variants by swapping gendered identifiers to create four dyads: female{--}female (F/F), female{--}male (F/M), male{--}female (M/F), and male{--}male (M/M), where the first position denotes the victim. Four recent LLMs (GPT-5o, Gemini 3, Llama 4, and Grok 3) evaluate each variant using a structured questionnaire covering IPV, perpetrator intent, cheating, and abuse subtypes. Results show substantial variation across models and dyads. Abuse and intent detection systematically decrease in mixed-gender dyads where the victim is male, with female perpetrator identity emerging as a consistent negative predictor of abuse recognition. Mixed-effects logistic regression confirms that gender roles significantly shape model outputs. Our findings suggest that LLMs reproduce gendered biases from online training data, with implications for support-related deployment. Code and resources are available at GitHub."
}