An innovative framework for supporting content-based authorship identification and analysis in social media networks

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dc.contributor.authorGaviria de la Puerta, José
dc.contributor.authorPastor López, Iker
dc.contributor.authorTellaeche Iglesias, Alberto
dc.contributor.authorSanz Urquijo, Borja
dc.contributor.authorSanjurjo González, Hugo
dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorBringas García, Pablo
dc.date.accessioned2024-11-13T08:54:35Z
dc.date.available2024-11-13T08:54:35Z
dc.date.issued2024-08
dc.date.updated2024-11-13T08:54:35Z
dc.description.abstractContent-based authorship identification is an emerging research problem in online social media networks, due to a wide collection of issues ranging from security to privacy preservation, from radicalization to defamation detection, and so forth. Indeed, this research has attracted a relevant amount of attention from the research community during the past years. The general problem becomes harder when we consider the additional constraint of identifying the same false profile over different social media networks, under obvious considerations. Inspired by this emerging research challenge, in this paper we propose and experimentally assess an innovative framework for supporting content-based authorship identification and analysis in social media networks.en
dc.description.sponsorshipThis research has been partially supported by the French PIA project \u2018Lorraine Universit\u00E9 d\u2019Excellence\u2019, reference ANR-15-IDEX-04-LUE.en
dc.identifier.citationGaviria de la Puerta, J., Pastor-López, I., Tellaeche, A., Sanz, B., Sanjurjo-González, H., Cuzzocrea, A., & Bringas, P. G. (2024). An innovative framework for supporting content-based authorship identification and analysis in social media networks. Logic Journal of the IGPL, 32(4), 589-604. https://doi.org/10.1093/JIGPAL/JZAE020
dc.identifier.doi10.1093/JIGPAL/JZAE020
dc.identifier.eissn1368-9894
dc.identifier.issn1367-0751
dc.identifier.urihttp://hdl.handle.net/20.500.14454/1805
dc.language.isoeng
dc.publisherOxford University Press
dc.subject.otherAuthorship identification
dc.subject.otherContent-based approach
dc.subject.otherOnline social networks
dc.subject.otherWord2Vec
dc.titleAn innovative framework for supporting content-based authorship identification and analysis in social media networksen
dc.typejournal article
dcterms.accessRightsmetadata only access
oaire.citation.endPage604
oaire.citation.issue4
oaire.citation.startPage589
oaire.citation.titleLogic Journal of the IGPL
oaire.citation.volume32
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