The linguistic correlates of conversational deception: Comparing natural language processing technologies

Nicholas Duran, Charles Hall, Philip M. McCarthy, Danielle McNamara

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

The words people use and the way they use them can reveal a great deal about their mental states when they attempt to deceive. The challenge for researchers is how to reliably distinguish the linguistic features that characterize these hidden states. In this study, we use a natural language processing tool called Coh-Metrix to evaluate deceptive and truthful conversations that occur within a context of computer-mediated communication. Coh-Metrix is unique in that it tracks linguistic features based on cognitive and social factors that are hypothesized to influence deception. The results from Coh-Metrix are compared to linguistic features reported in previous independent research, which used a natural language processing tool called Linguistic Inquiry and Word Count. The comparison reveals converging and contrasting alignment for several linguistic features and establishes new insights on deceptive language and its use in conversation.

Original languageEnglish (US)
Pages (from-to)439-462
Number of pages24
JournalApplied Psycholinguistics
Volume31
Issue number3
DOIs
StatePublished - Jul 2010
Externally publishedYes

Fingerprint

Natural Language Processing
Deception
Linguistics
Technology
linguistics
language
conversation
cognitive factors
computer-mediated communication
social factors
Language
Communication
Research Personnel
Linguistic Features
Research

ASJC Scopus subject areas

  • Linguistics and Language
  • Psychology(all)
  • Experimental and Cognitive Psychology
  • Language and Linguistics

Cite this

The linguistic correlates of conversational deception : Comparing natural language processing technologies. / Duran, Nicholas; Hall, Charles; McCarthy, Philip M.; McNamara, Danielle.

In: Applied Psycholinguistics, Vol. 31, No. 3, 07.2010, p. 439-462.

Research output: Contribution to journalArticle

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