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Uncritical polarized groups: The impact of spreading fake news as fact in social networks

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dc.contributor.authorSan Martín, Jesús
dc.contributor.authorDrubi Vega, Fátima
dc.contributor.authorRodríguez Pérez, Daniel
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)
dc.date.accessioned2026-01-20T08:40:43Z
dc.date.available2026-01-20T08:40:43Z
dc.date.issued2020-12
dc.descriptionThis is a Submitted Manuscript of an article published by Elsevier in "Mathematics and Computers in Simulation, 178, 192-206", available at: https://doi.org/10.1016/j.matcom.2020.06.013
dc.descriptionEste es el manuscrito enviado del artículo publicado por Elsevier en "Mathematics and Computers in Simulation, 178, 192-206", disponible en línea: https://doi.org/10.1016/j.matcom.2020.06.013
dc.description.abstractThe spread of ideas in online social networks is a crucial phenomenon to understand nowadays the proliferation of fake news and their impact in democracies. This makes necessary to use models that mimic the circulation of rumors. The law of large numbers as well as the probability distribution of contact groups allow us to construct a model with a minimum number of hypotheses. Moreover, we can analyze with this model the presence of very polarized groups of individuals (humans or bots) who spread a rumor as soon as they know about it. Given only the initial number of individuals who know any news, in a population connected by an instant messaging application, we first deduce from our model a simple function of time to study the rumor propagation. We then prove that the polarized groups can be detected and quantified from empirical data. Finally, we also predict the time required by any rumor to reach a fixed percentage of the populationen
dc.description.provenanceMade available in DSpace on 2026-01-20T08:40:43Z (GMT). No. of bitstreams: 1 RodriguezPerez_Daniel_UncriticalPolarizedGroups.pdf: 657808 bytes, checksum: e8b818e7b99f8ec4ce494696eb69358f (MD5) Previous issue date: 2020-12en
dc.description.sponsorshipF. Drubi was supported during this research by the Spanish programa estatal de fomento de la investigación científica y técnica de excelencia project MTM2014-56953-P. The authors would like to thank the many students of the Polytechnic University of Madrid who provided relevant data without which we could not have carried out this study.en
dc.description.versionversión original
dc.identifier.citationSan Martín, J., Drubi, F., & Rodríguez Pérez, D. (2020). Uncritical polarized groups: The impact of spreading fake news as fact in social networks. Mathematics and Computers in Simulation, 178, 192-206. https://doi.org/10.1016/j.matcom.2020.06.013
dc.identifier.doihttps://doi.org/10.1016/j.matcom.2020.06.013
dc.identifier.issn0378-4754
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31478
dc.journal.titleMathematics and Computers in Simulation
dc.journal.volume178
dc.language.isoes
dc.page.final206
dc.page.initial192
dc.publisherElsevier
dc.relation.centerFacultad de Ciencias
dc.relation.departmentFísica Matemática y de Fluídos
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/Programa estatal de fomento de la investigación científica y técnica de excelencia/MTM2014-56953-P
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject6305 Sociología matemática
dc.subject.keywordsOnline social networken
dc.subject.keywordsFake newsen
dc.subject.keywordsRumor propagationen
dc.subject.keywordsUncritical senders groupen
dc.titleUncritical polarized groups: The impact of spreading fake news as fact in social networksen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication6567ec87-332f-45c9-8f32-1fb7e2a6a02d
relation.isAuthorOfPublication.latestForDiscovery6567ec87-332f-45c9-8f32-1fb7e2a6a02d
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