用语言分析技术揭示哥伦比亚真相与和解法庭听证会中的叙事模式
Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
- 构建跳字网络分析受害者与各方陈述中的语义关联
- 识别出区域与程序阶段差异的叙事主题集群
- 为转型正义案例提供可复用的真相建构工具
哥伦比亚特别和平司法机构（JEP）的第03号案件聚焦所谓的“假阳性”事件，是该国武装冲突中最惨痛的篇章之一。本文提出一种基于自然语言分析与语义共现模型的创新方法，用于探索、系统化并可视化公众听证会上受害者及当事方陈述中的叙事模式。通过构建跳字网络并分析其模块性，研究识别出反映区域差异与程序状态差异的主题集群，为受害、责任与承认等动态提供了实证依据。该计算方法有助于司法与非司法层面的集体真相建构，为其他转型正义案例提供了可复制的分析工具。研究以真相、正义、赔偿与不重演为核心原则，对争议性记忆进行深入批判性解读。
原文摘要 · Abstract (English)
Case 03 of the Special Jurisdiction for Peace (JEP), focused on the so-called false positives in Colombia, represents one of the most harrowing episodes of the Colombian armed conflict. This article proposes an innovative methodology based on natural language analysis and semantic co-occurrence models to explore, systematize, and visualize narrative patterns present in the public hearings of victims and appearing parties. By constructing skipgram networks and analyzing their modularity, the study identifies thematic clusters that reveal regional and procedural status differences, providing empirical evidence on dynamics of victimization, responsibility, and acknowledgment in this case. This computational approach contributes to the collective construction of both judicial and extrajudicial truth, offering replicable tools for other transitional justice cases. The work is grounded in the pillars of truth, justice, reparation, and non-repetition, proposing a critical and in-depth reading of contested memories.
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