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
Link To Document :
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