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dc.rights.licenseopenen_US
dc.contributor.authorCARDINALE, Yudith
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorDONGO, Irvin
dc.contributor.authorROBAYO, German
dc.contributor.authorCABEZA, David
dc.contributor.authorAGUILERA, Ana
dc.contributor.authorMEDINA, Sergio
dc.date.accessioned2023-04-05T15:10:46Z
dc.date.available2023-04-05T15:10:46Z
dc.date.issued2021
dc.identifier.issn2169-3536en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172817
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enT-CREo: A Twitter Credibility Analysis Framework
dc.typeArticle de revueen_US
dc.identifier.doi10.1109/ACCESS.2021.3060623en_US
dc.subject.halInformatique [cs]en_US
bordeaux.journalIEEE Accessen_US
bordeaux.page32498-32516en_US
bordeaux.volume9en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03240177
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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