ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
Jake Vasilakes, Zhixue Zhao, Ivan Vykopal, Michal Gregor, Martin, Hyben, Carolina Scarton

TL;DR
The ExU project develops AI models to analyze multilingual disinformation narratives, aiding fact-checkers in identifying and understanding false information across languages.
Contribution
It introduces AI-based models for multilingual disinformation analysis, focusing on rumour stance classification and claim retrieval, with insights from user requirements surveys.
Findings
User requirements survey results inform tool design
Development of AI models for multilingual disinformation tasks
Initial results show potential for aiding fact-checkers
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.
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Taxonomy
TopicsMisinformation and Its Impacts
