The intended uses of automated fact-checking artefacts: why, how and who

Schlichtkrull, Michael, Ousidhoum, Nedjma and Vlachos, Andreas 2023. The intended uses of automated fact-checking artefacts: why, how and who. Presented at: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 2023. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, 8618 – 8642. 10.18653/v1/2023.findings-emnlp.577

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Abstract

Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, few papers thoroughly discuss how. We document this by analysing 100 highly-cited papers, and annotating epistemic elements related to intended use, i.e., means, ends, and stakeholders. We find that narratives leaving out some of these aspects are common, that many papers propose inconsistent means and ends, and that the feasibility of suggested strategies rarely has empirical backing. We argue that this vagueness actively hinders the technology from reaching its goals, as it encourages overclaiming, limits criticism, and prevents stakeholder feedback. Accordingly, we provide several recommendations for thinking and writing about the use of fact-checking artefacts.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Schools:	Schools > Computer Science & Informatics
Publisher:	Association for Computational Linguistics
ISBN:	9781713885917
Last Modified:	05 Jun 2025 15:31
URI:	https://orca.cardiff.ac.uk/id/eprint/178469

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