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The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence

2023-05-09 09:45:44
Eliya Habba, Renana Keydar, Dan Bareket, Gabriel Stanovsky

Abstract

We develop computational models to analyze court statements in order to assess judicial attitudes toward victims of sexual violence in the Israeli court system. The study examines the resonance of "rape myths" in the criminal justice system's response to sex crimes, in particular in judicial assessment of victim's credibility. We begin by formulating an ontology for evaluating judicial attitudes toward victim's credibility, with eight ordinal labels and binary categorizations. Second, we curate a manually annotated dataset for judicial assessments of victim's credibility in the Hebrew language, as well as a model that can extract credibility labels from court cases. The dataset consists of 855 verdict decision documents in sexual assault cases from 1990-2021, annotated with the help of legal experts and trained law students. The model uses a combined approach of syntactic and latent structures to find sentences that convey the judge's attitude towards the victim and classify them according to the credibility label set. Our ontology, data, and models will be made available upon request, in the hope they spur future progress in this judicial important task.

Abstract (translated)

我们开发计算模型来分析法院陈述,以评估以色列法院系统对性暴力受害者的司法态度。研究检查了“强奸神话”在刑事司法系统对性犯罪的反应中的共鸣,特别是对受害者 credibility 的司法评估。我们开始制定一个本体论来评估司法对受害者 credibility 的态度,使用八个顺序标签和二进制分类。其次,我们编辑了一个用希伯来语手动注释的 dataset,用于对受害者 credibility 的司法评估,以及一个可以从法院案例中提取 credibility 标签的模型。该 dataset 包括1990年至2021年期间855个性侵犯案件的判决决定文档,由法律专家和培训过的律师注解。模型使用语法和隐语法结构的综合方法,找到表达法官对受害者的态度的句子,并根据 credibility 标签集进行分类。我们的本体论、数据和模型将根据请求提供,希望它们激励未来在这个司法重要任务中的进展。

URL

https://arxiv.org/abs/2305.05302

PDF

https://arxiv.org/pdf/2305.05302.pdf


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