Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies

We evaluate conversational transcripts of deceptive speech using a sophisticated natural language processing tool called Coh-Metrix. Coh-Metrix is unique in that it tracks linguistic features based on social and cognitive factors. The results from Coh-Metrix are compared to linguistic features reported in previous independent deception research, which used a natural language processing tool called LIWC. The comparison provides converging validity for several linguistic features, and establishes new insights on deceptive language.

• Type: Journal
• Year: 2009
• Where: FLAIRS
• Authors: Nicholas D. Duran, Scott A. Crossley, Charles Hall, Philip M. McCarthy, Danielle S. McNamara
• Keywords: Artificial Intelligence, FLAIRS 2009, Linguistic Features, Natural Language, Sophisticated Natural Language