Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)

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Main Authors: Sosa, Juan, Urrego-López, Alejandro, Prieto, Cesar, Camargo-Díaz, Emma J.
Format: Preprint
Published: 2025
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_version_ 1866916678240043008
author Sosa, Juan
Urrego-López, Alejandro
Prieto, Cesar
Camargo-Díaz, Emma J.
author_facet Sosa, Juan
Urrego-López, Alejandro
Prieto, Cesar
Camargo-Díaz, Emma J.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2504_04325
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
Sosa, Juan
Urrego-López, Alejandro
Prieto, Cesar
Camargo-Díaz, Emma J.
Computation and Language
Applications
Methodology
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.
title Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
topic Computation and Language
Applications
Methodology
url https://arxiv.org/abs/2504.04325