Expanding a catalogue of deceptive linguistic features with NLP technologies

Nicholas D. Duran, Scott Crossley, Charles Hall, Philip McCarthy, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Pages243-248
Number of pages6
StatePublished - 2009
Externally publishedYes
Event22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 - Sanibel Island, FL, United States
Duration: Mar 19 2009Mar 21 2009

Publication series

NameProceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22

Other

Other22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Country/TerritoryUnited States
CitySanibel Island, FL
Period3/19/093/21/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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