Vasilakes, J., Zhao, Z. orcid.org/0000-0002-3060-269X, Vykopal, I. et al. (3 more authors) (2024) ExU: AI models for examining multilingual disinformation narratives and understanding their spread. In: Scarton, C., Prescott, C., Bayliss, C., Oakley, C., Wright, J., Wrigley, S., Song, X., Gow-Smith, E., Forcada, M. and Moniz, H.L., (eds.) Proceedings of the 25th Annual Conference of the European Association for Machine Translation, EAMT 2024. 25th Annual Conference of the European Association for Machine Translation, 24-27 Jun 2024, Sheffield, United Kingdom. European Association for Machine Translation (EAMT) , pp. 39-40. ISBN 9781068690716
Abstract
Addressing online disinformation requires analysing narratives across languages to help fact-checkers and journalists sift through large amounts of data. The ExU project focuses on developing AI-based models for multilingual disinformation analysis, addressing the tasks of rumour stance classification and claim retrieval. We describe the ExU project proposal and summarise the results of a user requirements survey regarding the design of tools to support fact-checking.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The authors. This article is licensed under a Creative Commons 4.0 licence, no derivative works, attribution, CC-BY-ND. (https://creativecommons.org/licenses/by-nd/4.0/) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Mar 2025 12:07 |
Last Modified: | 17 Mar 2025 13:04 |
Published Version: | https://aclanthology.org/2024.eamt-2.20/ |
Status: | Published |
Publisher: | European Association for Machine Translation (EAMT) |
Refereed: | Yes |
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Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224410 |