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Detecting Lies via a Theme-Selection Strategy

Most of deception research has focused on past events that were either completely truthful or a complete fabrication. However, people often tell a mixture of truths and lies. This could enable investigators to make within-subjects comparisons between different themes discussed in one interview, whic...

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Autores principales: Palena, Nicola, Caso, Letizia, Vrij, Aldert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336900/
https://www.ncbi.nlm.nih.gov/pubmed/30687204
http://dx.doi.org/10.3389/fpsyg.2018.02775
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author Palena, Nicola
Caso, Letizia
Vrij, Aldert
author_facet Palena, Nicola
Caso, Letizia
Vrij, Aldert
author_sort Palena, Nicola
collection PubMed
description Most of deception research has focused on past events that were either completely truthful or a complete fabrication. However, people often tell a mixture of truths and lies. This could enable investigators to make within-subjects comparisons between different themes discussed in one interview, which we examined in the current experiment. Seventy-three participants took part in the experiment and were asked to either tell the truth about two themes, or to tell the truth about one theme and lie about the second theme in a HUMINT setting. Results showed that examining the differences in the amount of detail provided by the interviewees for each theme- obtained through a Theme-Selection strategy (a within-subjects measure)- yielded stronger results than examining differences between truth tellers and liars based on the entire interview without accounting for themes (between-subjects measure). The present study therefore highlighted the effectiveness of within-subjects measurements to both discriminate truth tellers from liars and to discover which section of a statement is false.
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spelling pubmed-63369002019-01-25 Detecting Lies via a Theme-Selection Strategy Palena, Nicola Caso, Letizia Vrij, Aldert Front Psychol Psychology Most of deception research has focused on past events that were either completely truthful or a complete fabrication. However, people often tell a mixture of truths and lies. This could enable investigators to make within-subjects comparisons between different themes discussed in one interview, which we examined in the current experiment. Seventy-three participants took part in the experiment and were asked to either tell the truth about two themes, or to tell the truth about one theme and lie about the second theme in a HUMINT setting. Results showed that examining the differences in the amount of detail provided by the interviewees for each theme- obtained through a Theme-Selection strategy (a within-subjects measure)- yielded stronger results than examining differences between truth tellers and liars based on the entire interview without accounting for themes (between-subjects measure). The present study therefore highlighted the effectiveness of within-subjects measurements to both discriminate truth tellers from liars and to discover which section of a statement is false. Frontiers Media S.A. 2019-01-11 /pmc/articles/PMC6336900/ /pubmed/30687204 http://dx.doi.org/10.3389/fpsyg.2018.02775 Text en Copyright © 2019 Palena, Caso and Vrij. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Palena, Nicola
Caso, Letizia
Vrij, Aldert
Detecting Lies via a Theme-Selection Strategy
title Detecting Lies via a Theme-Selection Strategy
title_full Detecting Lies via a Theme-Selection Strategy
title_fullStr Detecting Lies via a Theme-Selection Strategy
title_full_unstemmed Detecting Lies via a Theme-Selection Strategy
title_short Detecting Lies via a Theme-Selection Strategy
title_sort detecting lies via a theme-selection strategy
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336900/
https://www.ncbi.nlm.nih.gov/pubmed/30687204
http://dx.doi.org/10.3389/fpsyg.2018.02775
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