The Satirical and Legitimate News Database (S-n-L News DB2015-2016) is free and released under an open license for educational and research purposes. It is password-protected.
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In the associated research article (Rubin et al. 2016), we describe a method which achieved the following success satirical news detection rates: 90% precision and 84% recall (F-score=87%).
Suggested Citation: Rubin, V. R., Conroy, N. J., Chen, Y. & Cornwell, S. (2016) Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News. In the Proceedings of the Workshop on Computational Approaches to Deception Detection at the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL-CADD2016), San Diego, California, June 17, 2016.