通过计算框架分析社交媒体上的家暴自述，挖掘支持机制并推动针对性干预。
Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
- 构建四步流程：识别自述、聚类帖子、提炼主题、提取支持
- 在真实社交社区数据上验证，揭示受害者求助与社区响应模式
- 为家暴幸存者提供数字支持工具，适合社会学与人机交互研究者
家庭暴力（DV）是亲密关系中普遍存在的公共健康问题，表现为持续的控制与虐待行为。随着社交媒体成为受害者披露经历的重要渠道，在线自我披露已成为寻求支持的关键但未被充分研究的路径。现有研究对家暴自述、支持供给及其关联缺乏全面深入的理解。为此，本研究提出一种新型计算框架，用于建模家暴求助行为及社区支持机制。该框架包含四个核心模块：自述检测、帖子聚类、主题总结与支持提取与映射。研究基于相关社交媒体社区收集的数据进行实现与评估。结果不仅深化了对家暴自述与在线支持供给的认识，也为以受害者为中心的数字干预提供了可能。
原文摘要 · Abstract (English)
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-disclosure 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 computational 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.
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