AI 中文总结
本研究通过分析孟加拉国2,811篇新闻文章和115份调查，揭示性暴力报道的模式与公众认知，并提出不确定性感知的HCI研究框架及设计需求。
AI 中文摘要
关于孟加拉国性暴力的证据分散在个别报告中，而官方和公民社会的统计数据很少提供可重复使用的案件级细节。我们研究了结构化分析如何在不将其视为患病率数据的情况下，使这一碎片化记录的一部分变得可读。我们的语料库包含来自Prothom Alo出版生态系统的2,811篇文章，时间戳为2013-2023年；其中2,794篇包含关于所报告受害者、涉嫌 perpetrator、事件、法律回应和地点的可解析元数据。我们将这些记录的描述性和空间分析与对2020年末收集的115份便利抽样调查回复的主题分析相结合。该语料库记录了许多年轻、女性、学生受害者，频繁的熟人和邻居关系，不均匀的地理记录，以及法律结果中大量的缺失。受访者最常将执法薄弱、不安全感、父权社会化、教育差距和社区不作为描述为使问题持续存在的条件。这些发现描述了新闻记录和公众认知；它们不估计发生率、地理风险或因果关系。我们为使用敏感、低资源新闻数据的HCI研究提供了一种不确定性感知的框架，并确定了来源、隐私、验证和负责任沟通的设计要求。
英文摘要
Evidence about sexual violence in Bangladesh is fragmented across individual reports, while official and civil-society statistics rarely provide reusable case-level detail. We examine how structured analysis can make one part of this fragmented record legible without treating it as prevalence data. Our corpus contains 2,811 articles timestamped 2013-2023 from the Prothom Alo publishing ecosystem; 2,794 include parseable metadata about reported victims, alleged perpetrators, incidents, legal responses, and locations. We combine descriptive and spatial analysis of these records with thematic analysis of 115 convenience-sample survey responses collected in late 2020. The corpus documents many young, female, and student victims, frequent acquaintance and neighbor relationships, uneven geographic documentation, and substantial missingness in legal outcomes. Respondents most often describe weak enforcement, insecurity, patriarchal socialization, education gaps, and community inaction as conditions enabling persistence. These findings characterize news documentation and public perceptions; they do not estimate incidence, geographic risk, or causality. We contribute an uncertainty-aware framing for HCI research using sensitive, low-resource news data and identify design requirements for provenance, privacy, validation, and responsible communication.
Comments14 pages, 6 figures, and 7 tables
