Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-12-01
|
| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2020.607853/full |
| _version_ | 1818853053569171456 |
|---|---|
| author | Andrzej Kawiak Grzegorz M. Wojcik Piotr Schneider Lukasz Kwasniewicz Adam Wierzbicki |
| author_facet | Andrzej Kawiak Grzegorz M. Wojcik Piotr Schneider Lukasz Kwasniewicz Adam Wierzbicki |
| author_sort | Andrzej Kawiak |
| collection | DOAJ |
| 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 performing 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 modeled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation). |
| first_indexed | 2024-12-19T07:30:42Z |
| format | Article |
| id | doaj.art-44c70d47466243d4a970dac15540409c |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-19T07:30:42Z |
| publishDate | 2020-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-44c70d47466243d4a970dac15540409c2022-12-21T20:30:43ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962020-12-011410.3389/fninf.2020.607853607853Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility EvaluationAndrzej Kawiak0Grzegorz M. Wojcik1Piotr Schneider2Lukasz Kwasniewicz3Adam Wierzbicki4Chair of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Lublin, PolandChair of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Lublin, PolandChair of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Lublin, PolandChair of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Lublin, PolandPolish-Japanese Academy of Information Technology, Warsaw, PolandUnderstanding 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 performing 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 modeled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation).https://www.frontiersin.org/articles/10.3389/fninf.2020.607853/fullcredibilityEEGsource localizationERPtrust |
| spellingShingle | Andrzej Kawiak Grzegorz M. Wojcik Piotr Schneider Lukasz Kwasniewicz Adam Wierzbicki Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation Frontiers in Neuroinformatics credibility EEG source localization ERP trust |
| title | Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation |
| title_full | Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation |
| title_fullStr | Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation |
| title_full_unstemmed | Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation |
| title_short | Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation |
| title_sort | whom to believe understanding and modeling brain activity in source credibility evaluation |
| topic | credibility EEG source localization ERP trust |
| url | https://www.frontiersin.org/articles/10.3389/fninf.2020.607853/full |
| work_keys_str_mv | AT andrzejkawiak whomtobelieveunderstandingandmodelingbrainactivityinsourcecredibilityevaluation AT grzegorzmwojcik whomtobelieveunderstandingandmodelingbrainactivityinsourcecredibilityevaluation AT piotrschneider whomtobelieveunderstandingandmodelingbrainactivityinsourcecredibilityevaluation AT lukaszkwasniewicz whomtobelieveunderstandingandmodelingbrainactivityinsourcecredibilityevaluation AT adamwierzbicki whomtobelieveunderstandingandmodelingbrainactivityinsourcecredibilityevaluation |