解码不信:使用自然语言处理的情感分析来评估24年的毫无根据的强奸报告叙事
Rachel E Lovell1, Lacey Caporale1, Jiaxin Du2
1Criminology Research Center, Cleveland State University, Cleveland, Ohio, USA.
Behavioral sciences & the law
|October 23, 2025
概括
强奸神话创造了司法障碍. 对性侵犯报告的分析发现,毫无根据的案件有更短,更负面的叙述,这表明偏见影响结果并阻碍了受害者正义.
科学领域:
- 犯罪学 犯罪学
- 法医心理学 法医心理学
- 自然语言处理自然语言处理.
背景情况:
- 强奸神话,如受害者不诚实,阻碍了正义.
- 没有犯罪确定的"无根据"分类,不成比例地影响受害者.
- 在性侵犯案例报告中调查叙事偏见至关重要.
研究的目的:
- 为了分析强奸报告叙述的偏见.
- 将被归类为"无根据"或表达"受害者撒谎/怀疑"的叙述与其他案例进行比较.
- 确定叙述特征如何影响案例结果.
主要方法:
- 分析了5,638起来自中西部城市司法管辖区的性侵犯案例叙述.
- 利用自然语言处理 (NLP) 进行情绪分析 (两极性,主观性) 和字数.
- 基于"无根据"的身份和官员"受害者撒谎/怀疑"表达式的比较叙述.
主要成果:
- 毫无根据的叙述比其他报道要短得多,而且比其他报道更负面.
- 无根据和其他叙述之间的主观性没有显著差异.
- 表达"受害者撒谎/怀疑"的报告显示,语调或长度没有显著差异.
结论:
- 性侵犯报告中的叙述情绪和长度可以反映潜在的偏见.
- 书面报告中的偏见可能会对受害者的案件结果产生负面影响.
- 改善报告撰写和减少"无根据"的分类对于受害者正义至关重要.
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