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arXiv 1904.02037cs.CLcs.IR

Automated Fact Checking in the News Room

Priberam Labs(Priberam实验室);Priberam Informática, S.A.(Priberam信息公司);Dep. of Computer Science and Technology, University of Cambridge(剑桥大学计算机科学与技术系);BBC News Labs(英国广播公司新闻实验室)

Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchel, Zita Marinho

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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