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Automatic Detection of Sensitive Information in Educative Social Networks

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Automatic Detection of Sensitive Information in Educative Social Networks

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dc.contributor.author Botti-Cebriá, Víctor es_ES
dc.contributor.author Del Val Noguera, Elena es_ES
dc.contributor.author García-Fornes, A es_ES
dc.date.accessioned 2022-02-10T08:42:53Z
dc.date.available 2022-02-10T08:42:53Z
dc.date.issued 2020-09-18 es_ES
dc.identifier.isbn 978-3-030-57804-6 es_ES
dc.identifier.uri http://hdl.handle.net/10251/180685
dc.description.abstract [EN] Detecting sensitive information with privacy in mind is a relevant issue on Social Networks. It is often difficult for users to manage the privacy associated with their posts on social networks taking into account their possible consequences. The main objective of this work is to provide users information about the sensitivity of the information they will share when they decide to publish a message in online media. For this purpose, an assistant agent to detect sensitive information based on different types of categories detected in the message (i.e., location, personal data, health, personal attacks, emotions, etc.) is proposed. Entity recognition libraries, ontologies, dictionaries, and sentiment analysis will be used to detect the different categories. This agent is integrated into the social network Pesedia, aimed for children and teenagers, and through a soft-paternalism mechanism provides information to users about the sensitivity of certain content and help them in making decisions about its publication. The agent decision process will be evaluated with a dataset elaborated from messages of the social network Twitter. es_ES
dc.description.sponsorship This work is supported by the Spanish Government project TIN2017-89156-R. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) es_ES
dc.relation.ispartofseries Advances in Intelligent Systems and Computing;1267 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Privacy es_ES
dc.subject Information sensitivity es_ES
dc.subject Social networks es_ES
dc.subject Classification es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Automatic Detection of Sensitive Information in Educative Social Networks es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-57805-3_18 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89156-R/ES/AGENTES INTELIGENTES PARA ASESORAR EN PRIVACIDAD EN REDES SOCIALES/ es_ES
dc.rights.accessRights Cerrado 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 Botti-Cebriá, V.; Del Val Noguera, E.; García-Fornes, A. (2020). Automatic Detection of Sensitive Information in Educative Social Networks. Springer. 184-194. https://doi.org/10.1007/978-3-030-57805-3_18 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) es_ES
dc.relation.conferencedate Septiembre 16-18,2020 es_ES
dc.relation.conferenceplace Burgos, España es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-57805-3_18 es_ES
dc.description.upvformatpinicio 184 es_ES
dc.description.upvformatpfin 194 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\421471 es_ES
dc.description.references Official legal text. https://gdpr-info.eu/ es_ES
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