Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims

Domestic Violence (DV) is a pervasive public health problem characterized by patterns of coercive and abusive behavior within intimate relationships. With the rise of social media as a key outlet for DV victims to disclose their experiences, online self - di sclosure has emerged as a critical yet underexplored avenue for support - seeking. In addition, existing research lacks a comprehensive and nuanced understanding of DV self - disclosure, support provisions, and their connections. To address these gaps, this study proposes a novel c omputational framework for modeling DV support - seeking behavior alongside community support mechanisms. The framework consists of four key components: self - disclosure detection, post clustering, topic summarization, and support extraction and mapping . We implement and evaluate the framework with data collected from relevant social media communities. Our findings not only advance existing knowledge on DV self - disclosure and online support provisions but also enable victim - centered digital interventions.