Expanding a catalogue of deceptive linguistic features with NLP technologies

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

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Pages	243-248
Number of pages	6
State	Published - 2009
Externally published	Yes
Event	22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 - Sanibel Island, FL, United States Duration: Mar 19 2009 → Mar 21 2009

Publication series

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

Other

Other	22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Country/Territory	United States
City	Sanibel Island, FL
Period	3/19/09 → 3/21/09

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Software

Cite this

Duran, N. D., Crossley, S., Hall, C., McCarthy, P., & McNamara, D. (2009). Expanding a catalogue of deceptive linguistic features with NLP technologies. In Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 (pp. 243-248). (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).

Expanding a catalogue of deceptive linguistic features with NLP technologies. / Duran, Nicholas D.; Crossley, Scott; Hall, Charles; McCarthy, Philip; McNamara, Danielle.

Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. 2009. p. 243-248 (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Duran, ND, Crossley, S, Hall, C, McCarthy, P & McNamara, D 2009, Expanding a catalogue of deceptive linguistic features with NLP technologies. in Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22, pp. 243-248, 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22, Sanibel Island, FL, United States, 3/19/09.

Duran ND, Crossley S, Hall C, McCarthy P, McNamara D. Expanding a catalogue of deceptive linguistic features with NLP technologies. In Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. 2009. p. 243-248. (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).

Duran, Nicholas D. ; Crossley, Scott ; Hall, Charles ; McCarthy, Philip ; McNamara, Danielle. / Expanding a catalogue of deceptive linguistic features with NLP technologies. Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. 2009. pp. 243-248 (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).

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ER -

Expanding a catalogue of deceptive linguistic features with NLP technologies

Abstract

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ASJC Scopus subject areas

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