Do Not Tell Me More; You Are Honest: A Preconceived Honesty Bias.
Ontology highlight
ABSTRACT: According to the previous literature, only a few papers found better accuracy than a chance to detect dishonesty, even when more information and verbal cues (VCs) improve precision in detecting dishonesty. A new classification of dishonesty profiles has recently been published, allowing us to study if this low success rate happens for all people or if some people have higher predictive ability. This paper aims to examine if (dis)honest people can detect better/worse (un)ethical behavior of others. With this in mind, we designed one experiment using videos from one of the most popular TV shows in the UK where contestants make a (dis)honesty decision upon gaining or sharing a certain amount of money. Our participants from an online MTurk sample (N = 1,582) had to determine under diffe
SUBMITTER: Pascual-Ezama D
PROVIDER: S-EPMC8430247 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
ACCESS DATA