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

A new benchmark dataset for fake news detection, containing 12,836 short statements labeled for truthfulness, subject, context/venue, speaker, state, party, and prior history.

Data and Resources

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Cite this as

William Yang Wang (2024). Dataset: Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection. https://doi.org/10.57702/lmtss4yd

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2112.06924
Citation
  • https://doi.org/10.1007/978-3-031-20859-1_13
  • https://doi.org/10.48550/arXiv.2006.00885
  • https://doi.org/10.48550/arXiv.1705.00648
Author William Yang Wang
Homepage https://arxiv.org/abs/1704.07815