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Computer Science > Computation and Language

arXiv:1904.02037 (cs)
[Submitted on 3 Apr 2019]

Title:Automated Fact Checking in the News Room

Authors:Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchel, Zita Marinho
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Abstract:Fact checking is an essential task in journalism; its importance has been highlighted due to recently increased concerns and efforts in combating misinformation. In this paper, we present an automated fact-checking platform which given a claim, it retrieves relevant textual evidence from a document collection, predicts whether each piece of evidence supports or refutes the claim, and returns a final verdict. We describe the architecture of the system and the user interface, focusing on the choices made to improve its user-friendliness and transparency. We conduct a user study of the fact-checking platform in a journalistic setting: we integrated it with a collection of news articles and provide an evaluation of the platform using feedback from journalists in their workflow. We found that the predictions of our platform were correct 58\% of the time, and 59\% of the returned evidence was relevant.
Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR)
Cite as: arXiv:1904.02037 [cs.CL]
  (or arXiv:1904.02037v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.1904.02037
Journal reference: WEBCONF 2019

Submission history

From: Zita Marinho [view email]
[v1] Wed, 3 Apr 2019 14:46:44 UTC (1,952 KB)
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