truthful conversation
Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies
Duran, Nicholas D. (University of Memphis) | Crossley, Scott A. (Mississippi State University) | Hall, Charles (University of Memphis) | McCarthy, Philip M. (University of Memphis) | McNamara, Danielle S. (University of Memphis)
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.