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Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks

The spread of false information on social networks has garnered substantial scientific and popular attention. To counteract this spread, verification of the truthfulness of information has been proposed as a key intervention. Using a novel behavioral experiment with over 2000 participants, we analyz...

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Autores principales: Makovi, Kinga, Muñoz-Herrera, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884844/
https://www.ncbi.nlm.nih.gov/pubmed/33589685
http://dx.doi.org/10.1038/s41598-021-82844-7
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author Makovi, Kinga
Muñoz-Herrera, Manuel
author_facet Makovi, Kinga
Muñoz-Herrera, Manuel
author_sort Makovi, Kinga
collection PubMed
description The spread of false information on social networks has garnered substantial scientific and popular attention. To counteract this spread, verification of the truthfulness of information has been proposed as a key intervention. Using a novel behavioral experiment with over 2000 participants, we analyze participants’ willingness to spread false information in a network. All participants in the network have aligned incentives making lying attractive and countering the explicit norm of truth-telling that we impose. We investigate how verifying the truth, endogenously or exogenously, impacts the choice to lie or to adhere to the norm of truth-telling and how this compares to the spread of information in a setting in which such verification is not possible. The three key take-aways are (1) verification is only moderately effective in reducing the spread of lies, and (2) its effectivity is contingent on the agency of people in seeking the truth, and (3) on the exposure of liars, not only on the exposure of the lies being told. These results suggest that verification is not a blanket solution. To enhance its effectivity, verification should be combined with efforts to foster a culture of truth-seeking and with information on who is spreading lies.
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spelling pubmed-78848442021-02-18 Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks Makovi, Kinga Muñoz-Herrera, Manuel Sci Rep Article The spread of false information on social networks has garnered substantial scientific and popular attention. To counteract this spread, verification of the truthfulness of information has been proposed as a key intervention. Using a novel behavioral experiment with over 2000 participants, we analyze participants’ willingness to spread false information in a network. All participants in the network have aligned incentives making lying attractive and countering the explicit norm of truth-telling that we impose. We investigate how verifying the truth, endogenously or exogenously, impacts the choice to lie or to adhere to the norm of truth-telling and how this compares to the spread of information in a setting in which such verification is not possible. The three key take-aways are (1) verification is only moderately effective in reducing the spread of lies, and (2) its effectivity is contingent on the agency of people in seeking the truth, and (3) on the exposure of liars, not only on the exposure of the lies being told. These results suggest that verification is not a blanket solution. To enhance its effectivity, verification should be combined with efforts to foster a culture of truth-seeking and with information on who is spreading lies. Nature Publishing Group UK 2021-02-15 /pmc/articles/PMC7884844/ /pubmed/33589685 http://dx.doi.org/10.1038/s41598-021-82844-7 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Makovi, Kinga
Muñoz-Herrera, Manuel
Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title_full Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title_fullStr Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title_full_unstemmed Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title_short Web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
title_sort web of lies: a tool for determining the limits of verification in preventing the spread of false information on networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884844/
https://www.ncbi.nlm.nih.gov/pubmed/33589685
http://dx.doi.org/10.1038/s41598-021-82844-7
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