Large Language Models for Multilingual Previously Fact-Checked Claim Detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0198601" target="_blank" >RIV/00216305:26230/26:0198601 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.findings-emnlp.852/" target="_blank" >https://aclanthology.org/2025.findings-emnlp.852/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2025.findings-emnlp.852" target="_blank" >10.18653/v1/2025.findings-emnlp.852</a>

Result language

angličtina

Original language name

Large Language Models for Multilingual Previously Fact-Checked Claim Detection

Original language description

In our era of widespread false information, human fact-checkers often face the challenge of duplicating efforts when verifying claims that may have already been addressed in other countries or languages. As false information transcends linguistic boundaries, the ability to automatically detect previously fact-checked claims across languages has become an increasingly important task. This paper presents the first comprehensive evaluation of large language models (LLMs) for multilingual previously fact-checked claim detection. We assess seven LLMs across 20 languages in both monolingual and cross-lingual settings. Our results show that while LLMs perform well for high-resource languages, they struggle with low-resource languages. Moreover, translating original texts into English proved to be beneficial for low-resource languages. These findings highlight the potential of LLMs for multilingual previously fact-checked claim detection and provide a foundation for further research on this promising application of LLMs.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů