FNC-1 (Fake News Challenge Stage 1)
Introduced by Pomerleau et al. in The fake news challenge: Exploring how artificial intelligence technologies could be leveraged to combat fake news
FNC-1 was designed as a stance detection dataset and it contains 75,385 labeled headline and article pairs. The pairs are labelled as either agree, disagree, discuss, and unrelated. Each headline in the dataset is phrased as a statement
Source: Investigating Rumor News Using Agreement-Aware SearchBenchmarks
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FNC-1
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Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M.
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FNC-1
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TESTED
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Papers
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