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Truth or lie: Exploring the language of deception
Lying appears in everyday oral and written communication. As a consequence, detecting it on the basis of linguistic analysis is particularly important. Our study aimed to verify whether the differences between true and false statements in terms of complexity and sentiment that were reported in previ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894434/ https://www.ncbi.nlm.nih.gov/pubmed/36730363 http://dx.doi.org/10.1371/journal.pone.0281179 |
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author | Sarzynska-Wawer, Justyna Pawlak, Aleksandra Szymanowska, Julia Hanusz, Krzysztof Wawer, Aleksander |
author_facet | Sarzynska-Wawer, Justyna Pawlak, Aleksandra Szymanowska, Julia Hanusz, Krzysztof Wawer, Aleksander |
author_sort | Sarzynska-Wawer, Justyna |
collection | PubMed |
description | Lying appears in everyday oral and written communication. As a consequence, detecting it on the basis of linguistic analysis is particularly important. Our study aimed to verify whether the differences between true and false statements in terms of complexity and sentiment that were reported in previous studies can be confirmed using tools dedicated to measuring those factors. Further, we investigated whether linguistic features that differentiate true and false utterances in English—namely utterance length, concreteness, and particular parts-of-speech—are also present in the Polish language. We analyzed nearly 1,500 true and false statements, half of which were transcripts while the other half were written statements. Our results show that false statements are less complex in terms of vocabulary, are more concise and concrete, and have more positive words and fewer negative words. We found no significant differences between spoken and written lies. Using this data, we built classifiers to automatically distinguish true from false utterances, achieving an accuracy of 60%. Our results provide a significant contribution to previous conclusions regarding linguistic deception indicators. |
format | Online Article Text |
id | pubmed-9894434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98944342023-02-03 Truth or lie: Exploring the language of deception Sarzynska-Wawer, Justyna Pawlak, Aleksandra Szymanowska, Julia Hanusz, Krzysztof Wawer, Aleksander PLoS One Research Article Lying appears in everyday oral and written communication. As a consequence, detecting it on the basis of linguistic analysis is particularly important. Our study aimed to verify whether the differences between true and false statements in terms of complexity and sentiment that were reported in previous studies can be confirmed using tools dedicated to measuring those factors. Further, we investigated whether linguistic features that differentiate true and false utterances in English—namely utterance length, concreteness, and particular parts-of-speech—are also present in the Polish language. We analyzed nearly 1,500 true and false statements, half of which were transcripts while the other half were written statements. Our results show that false statements are less complex in terms of vocabulary, are more concise and concrete, and have more positive words and fewer negative words. We found no significant differences between spoken and written lies. Using this data, we built classifiers to automatically distinguish true from false utterances, achieving an accuracy of 60%. Our results provide a significant contribution to previous conclusions regarding linguistic deception indicators. Public Library of Science 2023-02-02 /pmc/articles/PMC9894434/ /pubmed/36730363 http://dx.doi.org/10.1371/journal.pone.0281179 Text en © 2023 Sarzynska-Wawer et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sarzynska-Wawer, Justyna Pawlak, Aleksandra Szymanowska, Julia Hanusz, Krzysztof Wawer, Aleksander Truth or lie: Exploring the language of deception |
title | Truth or lie: Exploring the language of deception |
title_full | Truth or lie: Exploring the language of deception |
title_fullStr | Truth or lie: Exploring the language of deception |
title_full_unstemmed | Truth or lie: Exploring the language of deception |
title_short | Truth or lie: Exploring the language of deception |
title_sort | truth or lie: exploring the language of deception |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894434/ https://www.ncbi.nlm.nih.gov/pubmed/36730363 http://dx.doi.org/10.1371/journal.pone.0281179 |
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