Classifying Organized Criminal Violence in Mexico using ML and LLMs

Javier Osorio, Juan Vásquez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Natural Language Processing (NLP) tools have been rapidly adopted in political science for the study of conflict and violence. In this paper, we present an application to analyze various lethal and non-lethal events conducted by organized criminal groups and state forces in Mexico. Based on a large corpus of news articles in Spanish and a set of high-quality annotations, the application evaluates different Machine Learning (ML) algorithms and Large Language Models (LLMs) to classify documents and individual sentences, and to identify specific behaviors related to organized criminal violence and law enforcement efforts. Our experiments support the growing evidence that BERT-like models achieve outstanding classification performance for the study of organized crime. This application amplifies the capacity of conflict scholars to provide valuable information related to important security challenges in the developing world.

Original languageEnglish (US)
Title of host publicationCASE 2023 - Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023
EditorsAli Hurriyetoglu, Hristo Tanev, Vanni Zavarella, Reyyan Yeniterzi, Erdem Yoruk, Milena Slavcheva
PublisherIncoma Ltd
Pages1-10
Number of pages10
ISBN (Electronic)9789544520892
DOIs
StatePublished - 2023
Event6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, CASE 2023 - Varna, Bulgaria
Duration: Sep 7 2023 → …

Publication series

NameCASE 2023 - Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023

Conference

Conference6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, CASE 2023
Country/TerritoryBulgaria
CityVarna
Period9/7/23 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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