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

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

DOI retrieved: December 16, 2024

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