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FacTweet: Profiling Fake News Twitter Accounts

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FacTweet: Profiling Fake News Twitter Accounts

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dc.contributor.author Ghanem, Bilal Hisham Hasan es_ES
dc.contributor.author Ponzetto, Simone Paolo es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2021-12-27T08:37:41Z
dc.date.available 2021-12-27T08:37:41Z
dc.date.issued 2020-10-16 es_ES
dc.identifier.isbn 978-3-030-59429-9 es_ES
dc.identifier.uri http://hdl.handle.net/10251/178922
dc.description.abstract [EN] We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the timelines of news Twitter accounts by reading their posts as chunks, rather than dealing with each tweet independently. We show the experimental benefits of modeling latent stylistic signatures of mixed fake and real news with a sequential model over a wide range of strong baselines es_ES
dc.description.sponsorship The work of Paolo Rosso was 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 Statistical Language and Speech Processing, 8th International Conference, SLSP 2020 es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;12379 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fake news es_ES
dc.subject Twitter accounts es_ES
dc.subject Factual accounts es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title FacTweet: Profiling Fake News Twitter Accounts es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-59430-5_3 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.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 Ghanem, BHH.; Ponzetto, SP.; Rosso, P. (2020). FacTweet: Profiling Fake News Twitter Accounts. Springer. 35-45. https://doi.org/10.1007/978-3-030-59430-5_3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 8th International Conference on Statistical Language and Speech Processing (SLSP 2020) es_ES
dc.relation.conferencedate Octubre 14-16,2020 es_ES
dc.relation.conferenceplace Online es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-59430-5_3 es_ES
dc.description.upvformatpinicio 35 es_ES
dc.description.upvformatpfin 45 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\434395 es_ES
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