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Profiling hate speech spreaders on twitter task at PAN 2021

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Profiling hate speech spreaders on twitter task at PAN 2021

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dc.contributor.author Rangel, Francisco es_ES
dc.contributor.author Peña-Sarracén, Gretel Liz de la es_ES
dc.contributor.author Chulvi-Ferriols, María Alberta es_ES
dc.contributor.author Fersini, Elisabetta es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2022-12-14T11:46:54Z
dc.date.available 2022-12-14T11:46:54Z
dc.date.issued 2021-09-24 es_ES
dc.identifier.issn 1613-0073 es_ES
dc.identifier.uri http://hdl.handle.net/10251/190663
dc.description.abstract [EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this year¿s task is on determining whether or not the author of a Twitter feed is keen to spread hate speech. The main aim is to show the feasibility of automatically identifying potential hate speech spreaders on Twitter. 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: again 66 this year, as the previous year on Profiling Fake News Spreaders! We have to thank also Martin Potthast, Matti Wiegmann, Nikolay Kolyada, and Magdalena Anna Wolska for their technical support with the TIRA platform. We thank Symanto for sponsoring again the award for the best performing system at the author profiling shared task. The work of Francisco Rangel was partially funded by the Centre for the Development of Industrial Technology (CDTI) of the Spanish Ministry of Science and Innovation under the research project IDI-20210776 on Proactive Profiling of Hate Speech Spreaders - PROHATER (Perfilador Proactivo de Difusores de Mensajes de Odio). The work of the researchers from Universitat Politècnica de València was partially funded by the Spanish MICINN under the project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31), and by the Generalitat Valenciana under the project DeepPattern (PROMETEO/2019/121). This article is also based upon work from the Dig-ForAsp COST Action 17124 on Digital Forensics: evidence analysis via intelligent systems and practices, supported by European Cooperation in Science and Technology. es_ES
dc.language Inglés es_ES
dc.publisher CEUR es_ES
dc.relation.ispartof Proceedings of the Working Notes of CLEF 2021, Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st to 24th, 2021 es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Hate speech es_ES
dc.subject Hate speech spreaders es_ES
dc.subject Author profiling es_ES
dc.subject Natural language processing es_ES
dc.subject Artificial intelligence es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Profiling hate speech spreaders on twitter task at PAN 2021 es_ES
dc.type Comunicación en congreso 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///PROMETEO%2F2019%2F121//DEEP LEARNING FOR ADAPTATIVE AND MULTIMODAL INTERACTION IN PATTERN RECOGNITION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/COST//17124/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//IDI-20210776/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Rangel, F.; Peña-Sarracén, GLDL.; Chulvi-Ferriols, MA.; Fersini, E.; Rosso, P. (2021). Profiling hate speech spreaders on twitter task at PAN 2021. CEUR. 1772-1789. http://hdl.handle.net/10251/190663 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 12th Conference and Labs of the Evaluation Forum (CLEF 2021). Working Notes es_ES
dc.relation.conferencedate Septiembre 21-24,2021 es_ES
dc.relation.conferenceplace Online es_ES
dc.relation.publisherversion https://ceur-ws.org/Vol-2936/ es_ES
dc.description.upvformatpinicio 1772 es_ES
dc.description.upvformatpfin 1789 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\450773 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder European Cooperation in Science and Technology es_ES
dc.contributor.funder Centro para el Desarrollo Tecnológico Industrial es_ES


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