2024-03-29T00:55:53Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1240702022-02-07T15:07:29Zcom_10366_4322com_10366_4200com_10366_3946com_10366_3823col_10366_4323
Are computers effective lie detectors? A Meta-analysis of linguistic cues to deception
Hauch, Valerie
Blandón-Gitlin, Iris
Masip Pallejá, Jaume
Sporer, Siegfried L.
Detection of deception
Linguistic cues
Computer program
Meta-analysis
This meta-analysis investigates linguistic cues to deception and whether these cues can be detected with computer programs. We integrated operational definitions for 79 cues from 44 studies where software had been used to identify linguistic deception cues. These cues were allocated to six research questions. As expected, the meta-analyses demonstrated that, relative to truth-tellers, liars experienced greater cognitive load, expressed more negative emotions, distanced themselves more from events, expressed fewer sensory-perceptual words, and referred less often to cognitive processes. However, liars were not more uncertain than truth-tellers. These effects were moderated by event type, involvement, emotional valence, intensity of interaction, motivation, and other moderators. Although the overall effect size was small theory-driven predictions for certain cues received support. These findings not only further our knowledge about the usefulness of linguistic cues to detect deception with computers in applied settings but also elucidate the relationship between language and deception.
2014-11-04T07:59:41Z
2014-11-04T07:59:41Z
2014
info:eu-repo/semantics/article
http://hdl.handle.net/10366/124070
eng
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported