Gender deception in asynchronous online communication: A path analysis

Information Processing & Management (IP&M), vol. 53(1), pp. 21–41

49 Pages Posted: 13 Jun 2016 Last revised: 13 Mar 2017

Shuyuan Ho

Florida State University

Paul Benjamin Lowry

The University of Hong Kong - School of Business

Merrill Warkentin

Mississippi State University - Department of Management and Information Systems

Yanyun Yang

Florida State University

Jonathan Hollister

Florida State University, Students

Date Written: January 31, 2017

Abstract

The increasing social reliance on computer-mediated communication has resulted in the rise of deceptive communication. Gender is a salient feature of identity that can be easily disguised online, and yet the phenomenon of gender deception has not been fully investigated. This study adopts a multifactorial analysis to examine motivation, self-efficacy and gender of a deceiver in relation to self-efficacy and gender of the detector as a contribution to understanding online gender deception. An asynchronous online game was developed to simulate scenarios in which males were incentivized to speak like females, and females were incentivized to speak like males. Using path analysis, we analyzed cognitive factors of gender deception, to support our hypotheses that an actor’s actual gender can affect the motivation to deceive; males had higher self-efficacy beliefs in gender deception, and females had a higher success rate in detecting such deception. Our research suggests that the gender of the message recipient could be a significant factor in uncovering gender deception.

Keywords: Human Computer Interaction, Computer-Mediated Communication, Human Information Behavior, Gender, Deception, Online Game

Suggested Citation

Ho, Shuyuan and Lowry, Paul Benjamin and Warkentin, Merrill and Yang, Yanyun and Hollister, Jonathan, Gender deception in asynchronous online communication: A path analysis (January 31, 2017). Information Processing & Management (IP&M), vol. 53(1), pp. 21–41. Available at SSRN: https://ssrn.com/abstract=2794370

Shuyuan Ho

Florida State University ( email )

Tallahasse, FL 32306
United States

Paul Benjamin Lowry (Contact Author)

The University of Hong Kong - School of Business ( email )

Meng Wah Complex
Pokfulam Road
Hong Kong
China

Merrill Warkentin

Mississippi State University - Department of Management and Information Systems ( email )

United States

Yanyun Yang

Florida State University ( email )

Tallahasse, FL 32306
United States

Jonathan Hollister

Florida State University, Students ( email )

Tallahasse, FL 32306
United States

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