Talking About Torture: A Novel Approach to the Mixed Methods Analysis of Genocide-Related Witness Statements in the Khmer Rouge Tribunal

Miriam Schirmer, Jürgen Pfeffer, Sven Hilbert
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Abstract

This study investigates differences in torture-related witness statements during the Khmer Rouge Tribunal. It follows a three-phased sequential mixed methods design to identify disparities between testimonies of former detainees and interrogators and to examine how different methods complement each other for a comprehensive perspective on witness accounts. This includes training a natural language processing (NLP) model, sentiment analysis (SA), and qualitative content analysis (QCA). The qualitative and NLP-based analyses showed apparent differences between witness groups; a significant difference in sentiment values could not be detected. This study presents the first mixed methods approach based on court transcripts in genocide research. Its digital approach contributes to mixed methods research (MMR) by showing how NLP and data transformation can contribute to integration.
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谈论酷刑:用混合方法分析红色高棉法庭中与种族灭绝有关的证人证词的新方法
本研究调查了红色高棉法庭期间与酷刑有关的证人证词的差异。本研究采用三阶段顺序混合方法设计,以确定前被拘留者和审讯者证词之间的差异,并研究不同方法如何相互补充,以全面透视证人陈述。这包括训练自然语言处理(NLP)模型、情感分析(SA)和定性内容分析(QCA)。定性分析和基于 NLP 的分析表明,不同证人群体之间存在明显差异;但在情感值方面却未发现显著差异。本研究首次提出了种族灭绝研究中基于法庭记录的混合方法。其数字方法通过展示 NLP 和数据转换如何促进整合,为混合方法研究(MMR)做出了贡献。
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