The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Michael Sejr Schlichtkrull, Nedjma OUSIDHOUM, Andreas Vlachos
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 \textit{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.
BibTeX
@inproceedings{
schlichtkrull2023the,
title={The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who},
author={Michael Sejr Schlichtkrull and Nedjma OUSIDHOUM and Andreas Vlachos},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=SzH7d4617q}
}