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

Autor:	Vasilakes, Jake, Zhao, Zhixue, Vykopal, Ivan, Gregor, Michal, Hyben, Martin, Scarton, Carolina
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted at The 25th Annual Conference of The European Association for Machine Translation (EAMT 24)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.15443 Zobrazit plný text záznamu View this record from Arxiv