Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation

Computer 2026 Open access

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Authors: Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee
DOI: 10.1109/mc.2025.3592765
Cited by: 2
References: 20

Abstract

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. Our study provides the first empirical evidence of LLM presence in real-world disinformation data sets.

Fields of Study & Subjects

Topic Modeling Natural Language Processing Techniques Authorship Attribution and Profiling

Publication details

Journal / source
Computer
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
59
Issue
2
Pages
93–100
Publication date
1 February 2026
Language
EN