Title
Deception Detection: An Exploration of Annotated Text-Based Cues
Campus Units
Supply Chain and Information Systems
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
2018
Journal or Book Title
Journal of the Midwest Association for Information Systems
Volume
2018
Issue
2
First Page
5
Last Page
18
DOI
10.17705/3jmwa.000041
Abstract
Do embedded textual cues in asynchronous communication affect deceptive message detection? The expanded use of social media and rich media applications in business make this an important issue. Prior research indicates deception commonly occurs in all forms of communication and people have difficulty detecting its use. Asynchronous online communications are no exception and offer users a variety of media choices which may complicate deception detection, particularly if the sender has strategically selected a channel intended to disguise their intentions. The current study investigated whether embedded, non-verbal cues in common media forms found in asynchronous online venues influenced deception detection. Drawing on media synchronicity theory, results suggest embedding non-verbal cues in the form of annotated text can enhance deception detection. Overall, the findings suggest managers must be wary of sender motivations, which can influence message veracity, particularly in low synchronicity environments where media is subject to edits and manipulations.
Copyright Owner
The Author(s)
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
McHaney, Roger; George, Joey F.; and Gupta, Manjul, "Deception Detection: An Exploration of Annotated Text-Based Cues" (2018). Supply Chain Management Publications. 70.
https://lib.dr.iastate.edu/scm_pubs/70
Comments
This accepted article is published as McHaney, Roger; George, Joey F.; and Gupta, Manjul (2018) "Deception Detection: An Exploration of Annotated Text-Based Cues," Journal of the Midwest Association for Information Systems (JMWAIS): Vol. 2018 : Iss. 2 , Article 2. DOI: 10.17705/3jmwa.000041 Available at: http://aisel.aisnet.org/jmwais/vol2018/iss2/2