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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Look Who’s Talking: Modeling Decision Making Based on Source Credibility
Creator	Kawiak, Andrzej Kwasniewicz, Lukasz Schneider, Piotr Wierzbicki, Adam Wójcik, Grzegorz
Source	PMC
abstract	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).
has issue date	2020-05-26(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50371-0_24
has license	no-cc
sha1sum (hex)	efea6a195904a22337471d800f3cd19978c53494
schema:url	https://doi.org/10.1007/978-3-030-50371-0_24
resource representing a document's title	Look Who’s Talking: Modeling Decision Making Based on Source Credibility
has PubMed Central identifier	PMC7302235
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:efea6a195904a22337471d800f3cd19978c53494#body_text
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