对基于性别的暴力报告和证据建设应用程序 (GBVxTech) 进行批判性分析,以捕获记忆报告
Laura M Stevens1, Tia C Bennett1, Jessica Cotton2
1School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Frontiers in psychology
|February 2, 2024
概括
许多基于性别的暴力 (GBV) 报告技术 (GBVxTech) 缺乏准确收集受害者帐户的基本功能. 需要改善安全,知情同意和收集证据的最佳实践,以更好地支持幸存者.
科学领域:
- 数字法医学数字法医学
- 犯罪学 犯罪学
- 人与计算机的交互
背景情况:
- 由于社会耻辱和恐惧,基于性别的暴力 (GBV) 仍然被严重低估.
- 已经出现了称为GBVxTech的技术解决方案,以帮助受害者记录和报告GBV.
- 需要进行批判性分析,以评估GBVxTech与证据收集的既定最佳实践的一致性.
研究的目的:
- 评估现有的GBVxTech应用程序与收集受害者和证人的记录的科学最佳实践的一致性.
- 识别当前GBVxTech设计和功能中有关证据完整性和用户安全的漏洞.
主要方法:
- 全球扫描发现了41个GBV报告和证据收集应用程序.
- 根据研究标准,选出了13个可访问的应用程序进行详细评估.
- 根据采访技术,数据完整性和安全特征的最佳实践标准评估了申请.
主要成果:
- 大多数应用程序使用开放式问题,并鼓励独立报告.
- 在制定基本规则,使用强制选择问题和数据验证 (例如时间印,编辑轨迹) 等领域发现了重大缺陷.
- 许多应用程序具有有限的安全措施,缺乏关键的用户支持信息,如知情同意和数据使用政策.
结论:
- 目前的GBVxTech应用程序显示部分遵守了收集证据的最佳实践.
- 在GBVxTech开发中,需要加强安全性,透明的数据处理和改进的用户指导.
- 未来的GBVxTech代应该优先考虑强大的设计原则,以确保用户安全并最大限度地提高收集证据的完整性.
关键词:
#MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo #MeToo基于性别的暴力是基于性别的暴力移动应用程序 移动应用程序警察采访,警察采访.强奸 强奸 强奸 强奸 强奸性暴力性暴力性暴力性暴力性暴力性暴力性暴力相关概念视频
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