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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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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. |
format | Online Article Text |
id | pubmed-6336900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT palenanicola detectingliesviaathemeselectionstrategy AT casoletizia detectingliesviaathemeselectionstrategy AT vrijaldert detectingliesviaathemeselectionstrategy |