- -

Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Rangel;Gachanou;Ghanem ...
Tamaño: 530.8Kb
Formato: PDF
Descripción: Versión editorial
Abrir
dc.contributor.author Rangel, Francisco es_ES
dc.contributor.author Giachanou, Anastasia es_ES
dc.contributor.author Ghanem, Bilal Hisham Hasan es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2021-05-20T03:33:32Z
dc.date.available 2021-05-20T03:33:32Z
dc.date.issued 2020 es_ES
dc.identifier.issn 1613-0073 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166528
dc.description.abstract [EN] This overview presents the Author Profiling shared task at PAN 2020. The focus of this year's task is on determining whether or not the author of a Twitter feed is keen to spread fake news. Two have been the main aims: (i) to show the feasibility of automatically identifying potential fake news spreaders in Twitter; and (ii) to show the difficulty of identifying them when they do not limit themselves to just retweet domain-specific news. For this purpose a corpus with Twitter data has been provided, covering the English and Spanish languages. Altogether, the approaches of 66 participants have been evaluated. es_ES
dc.description.sponsorship First of all we thank the participants: 66 this year, record in terms of participants at PAN Lab since 2009! We have to thank also Martin Potthast, Matti Wiegmann, and Nikolay Kolyada to help with the 66 Virtual Machines in the TIRA platform. We thank Symanto for sponsoring the ex aequo award for the two best performing systems at the author profiling shared task of this year. 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). The work of Anastasia Giachanou is supported by the SNSF Early Postdoc Mobility grant under the project Early Fake News Detection on Social Media, Switzerland (P2TIP2 181441). es_ES
dc.language Inglés es_ES
dc.publisher Sun SITE Central Europe es_ES
dc.relation.ispartof CEUR Workshop Proceedings es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter es_ES
dc.type Artículo 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/CH/Early Fake News Detection on Social Media/
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 Rangel, F.; Giachanou, A.; Ghanem, BHH.; Rosso, P. (2020). Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter. CEUR Workshop Proceedings. 2696:1-18. http://hdl.handle.net/10251/166528 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://ceur-ws.org/Vol-2696/ es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2696 es_ES
dc.relation.pasarela S\434940 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Swiss National Science Foundation es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem