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Date: Monday, 16th June 2025
Adress:
Manchester Institute of Biotechnology
131 Princess Street
Manchester
M1 7DN
Contact: sophia.ananiadou@manchester.ac.uk
The rise of the internet and social media has significantly accelerated the spread of misinformation, posing serious societal challenges. While large language models (LLMs) offer new opportunities for misinformation detection, they also enable the creation of increasingly convincing false information, blurring the line between truth and deception.
This workshop invites researchers and practitioners to explore the dual role of LLMs in misinformation—both as a tool for detection and a challenge in itself. We aim to foster discussions on state-of-the-art techniques, emerging trends, and future directions in misinformation detection, ultimately working toward comprehensive frameworks that address the complex and evolving nature of this issue.
Join us to contribute insights, share research, and collaborate on innovative solutions to combat misinformation in the age of LLMs!
NOTE: There is no registration fee; Travel and accommodation are self-organised. We provide free food for each registered in-person attendee, so please make sure to register in advance.
Stephan Lewandowsky
The University of Bristol, School of Psychological Science
Andreas Vlachos
The University of Cambridge, Department of Computer Science and Technology
Isabelle Augenstein
University of Copenhagen, Department of Computer Science
Inria and Ecole Polytechnique
MBZUAI, Department of Natural Language Processing
The Fin AI
For Speakers and Talk details, See Details
You can find the Presentation Slides of Each Speaker at Slides