Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection

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Automatic Detection of Generated Text is Easiest when Humans are Fooled (2019, background): “Schuster et al. (2019) argue that the language distributional features implicitly or explicitly employed by these detectors are insufﬁcient; instead, one should look to explicit fact-veriﬁcation models.”
TruthfulQA: Measuring How Models Mimic Human Falsehoods (2021, background): “If models can generate plausible false statements in ways that are not easily identifiable, they could be used to deceive humans via disinformation or fraud (Zellers et al., 2019; Schuster et al., 2019).”
Human and Automatic Detection of Generated Text (2019, background): “Finally, Schuster et al. (2019) argue that language distributional features implicitly or explicitly used by these detectors are insuf-ﬁcient; instead, one should look to explicit fact-veriﬁcation models.”