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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10046305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT naharigalit metaresearchperspectivesonverballiedetection |