ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread

Fuente: arXiv
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Autori principali: Vasilakes, Jake, Zhao, Zhixue, Vykopal, Ivan, Gregor, Michal, Hyben, Martin, Scarton, Carolina
Natura: Preprint
Pubblicazione: 2024
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author Vasilakes, Jake
Zhao, Zhixue
Vykopal, Ivan
Gregor, Michal
Hyben, Martin
Scarton, Carolina
author_facet Vasilakes, Jake
Zhao, Zhixue
Vykopal, Ivan
Gregor, Michal
Hyben, Martin
Scarton, Carolina
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_15443
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
Vasilakes, Jake
Zhao, Zhixue
Vykopal, Ivan
Gregor, Michal
Hyben, Martin
Scarton, Carolina
Computation and Language
Artificial Intelligence
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.
title ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2406.15443