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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection

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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection

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dc.contributor.author Lai, Mirko es_ES
dc.contributor.author Patti, Viviana es_ES
dc.contributor.author Ruffo, Giancarlo es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2021-07-24T03:33:34Z
dc.date.available 2021-07-24T03:33:34Z
dc.date.issued 2020 es_ES
dc.identifier.issn 1064-1246 es_ES
dc.identifier.uri http://hdl.handle.net/10251/170080
dc.description.abstract [EN] Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight that social communities may contribute to influence users¿ opinion. Furthermore, stance should be studied in a diachronic perspective, since it could help to shed light on users¿ opinion shift dynamics that can be recorded during the debate. We analyzed the political discussion in UK about the BREXIT referendum on Twitter, proposing a novel approach and annotation schema for stance detection, with the main aim of investigating the role of features related to social network community and diachronic stance evolution. Classification experiments show that such features provide very useful clues for detecting stance. es_ES
dc.description.sponsorship The work of P. Rosso was partially funded by the Spanish MICINN under the research projects MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech(PGC2018-096212-B-C31) and PROMETEO/2019/121 (DeepPattern) of the Generalitat Valenciana. The work of V. Patti and G. Ruffo was partially funded by Progetto di Ateneo/CSP 2016 Immigrants, Hate and Prejudice in Social Media (S1618 L2 BOSC 01). es_ES
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation.ispartof Journal of Intelligent & Fuzzy Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Stance detection es_ES
dc.subject Twitter es_ES
dc.subject Brexit es_ES
dc.subject NLP es_ES
dc.subject Community detection es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title #Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3233/JIFS-179895 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UNITO//S1618_L2_BOSC_01/ 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/GVA//PROMETEO%2F2019%2F121/ES/Deep learning for adaptative and multimodal interaction in pattern recognition/ 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 Lai, M.; Patti, V.; Ruffo, G.; Rosso, P. (2020). #Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection. Journal of Intelligent & Fuzzy Systems. 39(2):2341-2352. https://doi.org/10.3233/JIFS-179895 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3233/JIFS-179895 es_ES
dc.description.upvformatpinicio 2341 es_ES
dc.description.upvformatpfin 2352 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 39 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\434271 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Università degli Studi di Torino es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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