Deception Detection: An Exploration of Annotated Text-Based Cues
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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.
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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