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- W4288376095 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." @default.
- W4288376095 created "2022-07-29" @default.
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- W4288376095 date "2019-04-03" @default.
- W4288376095 modified "2023-10-06" @default.
- W4288376095 title "Automated Fact Checking in the News Room" @default.
- W4288376095 doi "https://doi.org/10.48550/arxiv.1904.02037" @default.
- W4288376095 hasPublicationYear "2019" @default.
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