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A within-statement baseline comparison for detecting lies

To make veracity judgements in individual cases, practitioners may rely on baselining. That is, they may evaluate a statement relative to a baseline statement that is known to be truthful. We investigated whether a within-statement verbal baseline comparison could enhance discriminatory accuracy. Pa...

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Detalles Bibliográficos
Autores principales: Verigin, Brianna L., Meijer, Ewout H., Vrij, Aldert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451647/
https://www.ncbi.nlm.nih.gov/pubmed/34552381
http://dx.doi.org/10.1080/13218719.2020.1767712
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author Verigin, Brianna L.
Meijer, Ewout H.
Vrij, Aldert
author_facet Verigin, Brianna L.
Meijer, Ewout H.
Vrij, Aldert
author_sort Verigin, Brianna L.
collection PubMed
description To make veracity judgements in individual cases, practitioners may rely on baselining. That is, they may evaluate a statement relative to a baseline statement that is known to be truthful. We investigated whether a within-statement verbal baseline comparison could enhance discriminatory accuracy. Participants (n = 148) read an alibi statement of a mock suspect and provided a veracity judgement regarding a critical two-hour period within the alibi statement. This critical element was either deceptive or truthful and was embedded into an otherwise truthful story. Half of the participants received additional instructions to use the surrounding truthful elements of the statement as a baseline. Instructing participants to make a within-statement baseline comparison did not improve the accuracy of credibility assessments.
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spelling pubmed-84516472021-09-21 A within-statement baseline comparison for detecting lies Verigin, Brianna L. Meijer, Ewout H. Vrij, Aldert Psychiatr Psychol Law Articles To make veracity judgements in individual cases, practitioners may rely on baselining. That is, they may evaluate a statement relative to a baseline statement that is known to be truthful. We investigated whether a within-statement verbal baseline comparison could enhance discriminatory accuracy. Participants (n = 148) read an alibi statement of a mock suspect and provided a veracity judgement regarding a critical two-hour period within the alibi statement. This critical element was either deceptive or truthful and was embedded into an otherwise truthful story. Half of the participants received additional instructions to use the surrounding truthful elements of the statement as a baseline. Instructing participants to make a within-statement baseline comparison did not improve the accuracy of credibility assessments. Routledge 2020-06-02 /pmc/articles/PMC8451647/ /pubmed/34552381 http://dx.doi.org/10.1080/13218719.2020.1767712 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Articles
Verigin, Brianna L.
Meijer, Ewout H.
Vrij, Aldert
A within-statement baseline comparison for detecting lies
title A within-statement baseline comparison for detecting lies
title_full A within-statement baseline comparison for detecting lies
title_fullStr A within-statement baseline comparison for detecting lies
title_full_unstemmed A within-statement baseline comparison for detecting lies
title_short A within-statement baseline comparison for detecting lies
title_sort within-statement baseline comparison for detecting lies
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451647/
https://www.ncbi.nlm.nih.gov/pubmed/34552381
http://dx.doi.org/10.1080/13218719.2020.1767712
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