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FacTweet: Profiling Fake News Twitter Accounts

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FacTweet: Profiling Fake News Twitter Accounts

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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

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Metadatos del ítem

Título: FacTweet: Profiling Fake News Twitter Accounts
Autor: Ghanem, Bilal Hisham Hasan Ponzetto, Simone Paolo Rosso, Paolo
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Fake news , Twitter accounts , Factual accounts
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-030-59429-9
Fuente:
Statistical Language and Speech Processing, 8th International Conference, SLSP 2020.
DOI: 10.1007/978-3-030-59430-5_3
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-59430-5_3
Título del congreso: 8th International Conference on Statistical Language and Speech Processing (SLSP 2020)
Lugar del congreso: Online
Fecha congreso: Octubre 14-16,2020
Serie: Lecture Notes in Computer Science;12379
Código del Proyecto:
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/
Agradecimientos:
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)
Tipo: Comunicación en congreso Capítulo de libro

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