• DocumentCode
    2408554
  • Title

    Automated Linguistic Analysis of Deceptive and Truthful Synchronous Computer-Mediated Communication

  • Author

    Hancock, Jeffrey T. ; Curry, Lauren ; Goorha, Saurabh ; Woodworth, Michael

  • Author_Institution
    Cornell University
  • fYear
    2005
  • fDate
    03-06 Jan. 2005
  • Abstract
    The present study investigates changes in both the sender´s and the target´s linguistic style across truthful and deceptive dyadic communication in a synchronous text-based setting. A computer-based analysis of 242 transcripts revealed that senders produced more words overall, decreased their use of self-oriented pronouns but increased other-oriented pronouns, and used more sense-based descriptions (e.g., seeing, touching) when lying than when telling the truth. In addition, motivated senders avoided causal terms during deception, while unmotivated senders relied more heavily on simple negations. Receivers used more words when being deceived, but they also asked more questions and used shorter sentences when being lied to than when being told the truth, especially when the sender was unmotivated. These findings are discussed in terms of their implications for linguistic style matching and interpersonal deception theory.
  • Keywords
    Communications technology; Computer mediated communication; Humans; Production; Psychology; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2005. HICSS '05. Proceedings of the 38th Annual Hawaii International Conference on
  • ISSN
    1530-1605
  • Print_ISBN
    0-7695-2268-8
  • Type

    conf

  • DOI
    10.1109/HICSS.2005.111
  • Filename
    1385275