We investigate how people lie and detect deception with technology. Our research suggests that lies are not more prevalent online than offline (see Guillory & Hancock, 2012; Markowitz & Hancock, 2016), but instead, deception is represented differently when technology is involved.
Our recent papers examine how deception plays a role in romantic relationships that begin on mobile dating apps (Markowitz & Hancock, 2017), how people perceive their own and others deceptive behavior over text-based media relative to face-to-face (Toma, Jiang, & Hancock, 2016), and how technology can manufacture trust in the sharing economy.
Jakesch, D., French, M., Ma, X., Hancock, J.T. & Naaman, M. (in press). AI-Mediated Communication: How Profile Generation by AI Affects Perceived Trustworthiness. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019).
Ho, S.M. & Hancock, J.T. (2019) Context in a bottle: Language-action cues in spontaneous computer-mediated deception. Computers in Human Behavior, 91, 33-41.
Toma, C.T., Jiang, L.C., & Hancock, J.T. (2016). Lies in the Eye of the Beholder: The Intensifying Effect of Media on Self-Other Asymmetries Regarding Deception. Communication Research, 45 (8), 252-259.
Markowtiz, D.M. & Hancock, J.T. (2015). Online deception. In the International Encyclopedia of Interpersonal Communication. John Wiley & Sons. Inc: New York, NY.
Guillory, J. & Hancock, J.T. (2012). The effect of Linkedin on deception in resumes. Cyberpsychology, Behavior and Social Networking, 15, 135-140