Journal
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
Volume 33, Issue 2, Pages 393-420Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/07421222.2016.1205924
Keywords
computer-mediated communication; computer-mediated deception; deception detection; deceptive communications; human-computer interaction; interpersonal deception theory; language-action cues
Funding
- National Science Foundation EAGER [1347113, 1347120, 09/01/13-08/31/15]
- Florida Center for Cybersecurity Collaborative Seed Grant [03/01/15-02/28/16]
- Florida State University Council for Research and Creativity Planning Grant [034138, 12/01/13-12/12/14]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1347113, 1347120] Funding Source: National Science Foundation
- Div Of Industrial Innovation & Partnersh
- Directorate For Engineering [1505195] Funding Source: National Science Foundation
Ask authors/readers for more resources
Computer-mediated deception threatens the security of online users' private and personal information. Previous research confirms that humans are bad lie detectors, while demonstrating that certain observable linguistic features can provide crucial cues to detect deception. We designed and conducted an experiment that creates spontaneous deception scenarios in an interactive online game environment. Logistic regression, and certain classification methodologies were applied to analyzing data collected during fall 2014 through spring 2015. Our findings suggest that certain language-action cues (e.g., cognitive load, affective process, latency, and wordiness) reveal patterns of information behavior manifested by deceivers in spontaneous online communication. Moreover, computational approaches to analyzing these language-action cues can provide significant accuracy in detecting computer-mediated deception.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available