"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

meeting of the association for computational linguistics, 2017.

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Abstract:

Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets. In this paper, we present liar: a new, publicly available dataset for ...More

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