Title
The Language Of Lies: A Content Analytic Approach
Abstract
Past research on deception detection has demonstrated the diagnostic value of attending to verbal content (e.g., message content) over nonverbal cues (e.g., gaze aversion; Vrij, 2008). Moreover, research has also demonstrated the value of computer-based text analysis programs for distinguishing truthful from deceptive communications (Hauch, Masip, Blandon-Gitlin, & Sporer, 2012). The aim of this research is to add to the corpus of studies examining linguistic features of deceptive communications by comparing existing linguistic models (e.g., Newman, Pennebaker, Berry, & Richards, 2003) to our own approach. Based on our model, the results demonstrated that lies contain more affective words, are less detailed, and are more uncertain. Implications are discussed.
Publication Date
1-1-2014
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
2014-January
Number of Pages
1328-1331
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1541931214581277
Copyright Status
Unknown
Socpus ID
84957702698 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84957702698
STARS Citation
Driskell, T.; Neuberger, L.; Driskell, J. E.; Burke, C. S.; and Salas, E., "The Language Of Lies: A Content Analytic Approach" (2014). Scopus Export 2010-2014. 8921.
https://stars.library.ucf.edu/scopus2010/8921