mlsanityData to 14 Oct 2026

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

arXiv 2406.15443 ↗First posted 30 May 2024cs.CL cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 30 May 2024.

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References · 5

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language Modelcited by 295
  3. 2017Detection and Resolution of Rumours in Social Media: A Surveycited by 104
  4. 2023Multilingual Previously Fact-Checked Claim Retrievalcited by 32
  5. 2023Incorporating Attribution Importance for Improving Faithfulness Metricscited by 14

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