Article in iScience Volume 27, Issue 7

Description: Humans, aware of the social costs associated with false accusations, are generally hesitant to accuse others of lying. Our study shows how lie detection algorithms disrupt this social dynamic. We develop a supervised machine-learning classifier that surpasses human accuracy and conduct a large-scale incentivized experiment manipulating the availability of this lie-detection algorithm.

Link: http://dx.doi.org/10.1016/j.isci.2024.110201

Year of publication: 2024

Authors: Von Schenk A, Klockmann V, Bonnefon J, Rahwan I, Köbis N – GOT