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Look Who’s Talking: Modeling Decision Making Based on Source Credibility

Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of human...

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Autores principales: Kawiak, Andrzej, Wójcik, Grzegorz M., Kwasniewicz, Lukasz, Schneider, Piotr, Wierzbicki, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302235/
http://dx.doi.org/10.1007/978-3-030-50371-0_24
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author Kawiak, Andrzej
Wójcik, Grzegorz M.
Kwasniewicz, Lukasz
Schneider, Piotr
Wierzbicki, Adam
author_facet Kawiak, Andrzej
Wójcik, Grzegorz M.
Kwasniewicz, Lukasz
Schneider, Piotr
Wierzbicki, Adam
author_sort Kawiak, Andrzej
collection PubMed
description Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of humans who make credibility evaluations. Nevertheless, source credibility has never been investigated using such a method before. This article reports the results of an experiment during which we have measured brain activity during source credibility evaluation using EEG. The experiment allowed for identification of brain areas that were active when a participant made positive or negative source credibility evaluations. Based on experimental data, we modelled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation).
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spelling pubmed-73022352020-06-18 Look Who’s Talking: Modeling Decision Making Based on Source Credibility Kawiak, Andrzej Wójcik, Grzegorz M. Kwasniewicz, Lukasz Schneider, Piotr Wierzbicki, Adam Computational Science – ICCS 2020 Article Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of humans who make credibility evaluations. Nevertheless, source credibility has never been investigated using such a method before. This article reports the results of an experiment during which we have measured brain activity during source credibility evaluation using EEG. The experiment allowed for identification of brain areas that were active when a participant made positive or negative source credibility evaluations. Based on experimental data, we modelled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation). 2020-05-26 /pmc/articles/PMC7302235/ http://dx.doi.org/10.1007/978-3-030-50371-0_24 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kawiak, Andrzej
Wójcik, Grzegorz M.
Kwasniewicz, Lukasz
Schneider, Piotr
Wierzbicki, Adam
Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title_full Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title_fullStr Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title_full_unstemmed Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title_short Look Who’s Talking: Modeling Decision Making Based on Source Credibility
title_sort look who’s talking: modeling decision making based on source credibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302235/
http://dx.doi.org/10.1007/978-3-030-50371-0_24
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