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Meta-Research Perspectives on Verbal Lie Detection

Verbal lie detection (VLD) research, conducted mainly in the cognitive sciences, examines content-based indicators that differ between truth-tellers and lie-tellers. Following the meta-research approach (examination of the research itself), the current paper aimed to ascertain the current status of...

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Autor principal: Nahari, Galit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046305/
https://www.ncbi.nlm.nih.gov/pubmed/36979202
http://dx.doi.org/10.3390/brainsci13030392
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author Nahari, Galit
author_facet Nahari, Galit
author_sort Nahari, Galit
collection PubMed
description Verbal lie detection (VLD) research, conducted mainly in the cognitive sciences, examines content-based indicators that differ between truth-tellers and lie-tellers. Following the meta-research approach (examination of the research itself), the current paper aimed to ascertain the current status of VLD research across three components: the search for VLD indicators, VLD coding, and VLD research tracks. It highlights several issues that challenge VLD research; these are discussed, along with suggestions for how to address them. This scrutiny may contribute to a further advancement of the field of VLD research and, as a result, an improvement of VLD practices.
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spelling pubmed-100463052023-03-29 Meta-Research Perspectives on Verbal Lie Detection Nahari, Galit Brain Sci Opinion Verbal lie detection (VLD) research, conducted mainly in the cognitive sciences, examines content-based indicators that differ between truth-tellers and lie-tellers. Following the meta-research approach (examination of the research itself), the current paper aimed to ascertain the current status of VLD research across three components: the search for VLD indicators, VLD coding, and VLD research tracks. It highlights several issues that challenge VLD research; these are discussed, along with suggestions for how to address them. This scrutiny may contribute to a further advancement of the field of VLD research and, as a result, an improvement of VLD practices. MDPI 2023-02-24 /pmc/articles/PMC10046305/ /pubmed/36979202 http://dx.doi.org/10.3390/brainsci13030392 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Opinion
Nahari, Galit
Meta-Research Perspectives on Verbal Lie Detection
title Meta-Research Perspectives on Verbal Lie Detection
title_full Meta-Research Perspectives on Verbal Lie Detection
title_fullStr Meta-Research Perspectives on Verbal Lie Detection
title_full_unstemmed Meta-Research Perspectives on Verbal Lie Detection
title_short Meta-Research Perspectives on Verbal Lie Detection
title_sort meta-research perspectives on verbal lie detection
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046305/
https://www.ncbi.nlm.nih.gov/pubmed/36979202
http://dx.doi.org/10.3390/brainsci13030392
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