Computational analysis of lexical and cohesion differences in deceptive language: The role of accordance

Ali Heidari, Meredith D'Arienzo, Scott A. Crossley, Nicholas Duran

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

Abstract

In this study, two advanced computational text analysis tools were used to catalogue lexical and cohesive features of deceptive language and language accordance (i.e.. agreement/disagreement on topic of conversation) in a corpus of dyadic conversations. The study specifically focused on how the variable of accordance conditions the process of deception in terms of lexical and cohesive features. The results indicated that there is no interaction between deception and accordance in deceptive conversations in terms of cohesive or lexical sophistication indices. The results also did not show main effect for indices of cohesion and lexical sophistication for deceptive versus non-deceptive conversations. However, main effects were observed for indices of cohesion and lexical sophistication in distinguishing conversations characterized by agreement or disagreement. The linguistic differences related to the cohesive and lexical sophistication aspects of agreement versus disagreement conversations are discussed.

Original languageEnglish (US)
Title of host publicationFLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference
PublisherAAAI Press
Pages270-275
Number of pages6
ISBN (Electronic)9781577357872
StatePublished - 2017
Event30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017 - Marco Island, United States
Duration: May 22 2017May 24 2017

Other

Other30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017
CountryUnited States
CityMarco Island
Period5/22/175/24/17

Fingerprint

Linguistics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Heidari, A., D'Arienzo, M., Crossley, S. A., & Duran, N. (2017). Computational analysis of lexical and cohesion differences in deceptive language: The role of accordance. In FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference (pp. 270-275). AAAI Press.

Computational analysis of lexical and cohesion differences in deceptive language : The role of accordance. / Heidari, Ali; D'Arienzo, Meredith; Crossley, Scott A.; Duran, Nicholas.

FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. AAAI Press, 2017. p. 270-275.

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

Heidari, A, D'Arienzo, M, Crossley, SA & Duran, N 2017, Computational analysis of lexical and cohesion differences in deceptive language: The role of accordance. in FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. AAAI Press, pp. 270-275, 30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, United States, 5/22/17.
Heidari A, D'Arienzo M, Crossley SA, Duran N. Computational analysis of lexical and cohesion differences in deceptive language: The role of accordance. In FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. AAAI Press. 2017. p. 270-275
Heidari, Ali ; D'Arienzo, Meredith ; Crossley, Scott A. ; Duran, Nicholas. / Computational analysis of lexical and cohesion differences in deceptive language : The role of accordance. FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. AAAI Press, 2017. pp. 270-275
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