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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers

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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers

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dc.contributor.author Giachanou, Anastasia es_ES
dc.contributor.author Ríssola, Esteban A. es_ES
dc.contributor.author Ghanem, Bilal es_ES
dc.contributor.author Crestani, Fabio es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2022-01-18T08:13:10Z
dc.date.available 2022-01-18T08:13:10Z
dc.date.issued 2020-06-26 es_ES
dc.identifier.isbn 978-3-030-51309-2 es_ES
dc.identifier.uri http://hdl.handle.net/10251/179851
dc.description.abstract [EN] Users play a critical role in the creation and propagation of fake news online by consuming and sharing articles with inaccurate information either intentionally or unintentionally. Fake news are written in a way to confuse readers and therefore understanding which articles contain fabricated information is very challenging for non-experts. Given the di culty of the task, several fact checking websites have been developed to raise awareness about which articles contain fabricated information. As a result of those platforms, several users are interested to share posts that cite evidence with the aim to refute fake news and warn other users. These users are known as fact checkers. However, there are users who tend to share false information, who can be characterised as potential fake news spreaders. In this paper, we propose the CheckerOrSpreader model that can classify a user as a potential fact checker or a potential fake news spreader. Our model is based on a Convolutional Neural Network (CNN) and combines word embeddings with features that represent users' personality traits and linguistic patterns used in their tweets. Experimental results show that leveraging linguistic patterns and personality traits can improve the performance in di erentiating between checkers and spreaders. es_ES
dc.description.sponsorship The work of the first author is supported by the SNSF Early Postdoc Mobility grant under the project Early Fake News Detection on Social Media, Switzerland (P2TIP2 181441). The work of Paolo Rosso is partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018- 096212-B-C31). es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020. Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fact checkers detection es_ES
dc.subject Personality traits es_ES
dc.subject Linguistic patterns es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-51310-8_17 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096212-B-C31/ES/DESINFORMACION Y AGRESIVIDAD EN SOCIAL MEDIA: AGREGANDO INFORMACION Y ANALIZANDO EL LENGUAJE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/SNSF//P2TIP2 181441/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Giachanou, A.; Ríssola, EA.; Ghanem, B.; Crestani, F.; Rosso, P. (2020). The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers. Springer. 181-192. https://doi.org/10.1007/978-3-030-51310-8_17 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 25th International Conference on Application of Natural Language to Information Systems (NLDB 2020) es_ES
dc.relation.conferencedate Junio 24-26,2020 es_ES
dc.relation.conferenceplace Online es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-51310-8_17 es_ES
dc.description.upvformatpinicio 181 es_ES
dc.description.upvformatpfin 192 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\434341 es_ES
dc.contributor.funder Swiss National Science Foundation es_ES
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