Paper: The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language

ACL ID P09-2078
Title The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

In this paper, we present initial experi- ments in the recognition of deceptive lan- guage. We introduce three data sets of true and lying texts collected for this purpose, and we show that automatic classification is a viable technique to distinguish be- tween truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are charac- teristic for deceptive text. You should not trust the devil, even if he tells the truth. – Thomas of Aquin (medieval philosopher)