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Bots and AI Approaches to Detect and Counter Misinformation (24) Natural Language Processing (993) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1172) Artificial Intelligence (2442)

Published on in Vol 6 (2026)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72524, first published .
Performance of Large Language Models in the Cognitive Analysis of Misinformation: Evaluation Study

Performance of Large Language Models in the Cognitive Analysis of Misinformation: Evaluation Study

Performance of Large Language Models in the Cognitive Analysis of Misinformation: Evaluation Study

Authors of this article:

Dominika Nadia Wojtczak1 Author Orcid Image ;   Cheryl McQuire2 Author Orcid Image ;   Luisa Zuccolo3, 4 Author Orcid Image ;   Claudia Peersman1 Author Orcid Image ;   Ryan McConville5 Author Orcid Image
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Dominika Nadia Wojtczak   1 , PhD ;   Cheryl McQuire   2 , PhD ;   Luisa Zuccolo   3, 4 , PhD ;   Claudia Peersman   1 , PhD ;   Ryan McConville   5 , PhD

1 School of Computer Science, University of Bristol, Bristol, United Kingdom

2 Bristol Medical School, University of Bristol, Bristol, United Kingdom

3 Health Data Science Centre, Human Technopole, Milan, Italy

4 Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom

5 School of Engineering Mathematics and Technology, University of Bristol, Bristol, United Kingdom

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