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Explainable Classification of Wiki Streams

2024-02-16Conference object Restricted access
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dc.contributor.authorGarcía-Méndez, Silvia
dc.contributor.authorLeal, Fátima
dc.contributor.authorde Arriba-Pérez, Francisco
dc.contributor.authorMalheiro, Benedita
dc.contributor.authorBurguillo-Rial, Juan Carlos
dc.date.accessioned2024-03-11T11:01:32Z
dc.date.available2024-03-11T11:01:32Z
dc.date.issued2024-02-16
dc.description.abstractWeb 2.0 platforms, like wikis and social networks, rely on crowdsourced data and, as such, are prone to data manipulation by ill-intended contributors. This research proposes the transparent identification of wiki manipulators through the classification of contributors as benevolent or malevolent humans or bots, together with the explanation of the attributed class labels. The system comprises: (i) stream-based data pre-processing; (ii) incremental profiling; and (iii) online classification, evaluation and explanation. Particularly, the system profiles contributors and contributions by combining features directly collected with content- and side-based engineered features. The experimental results obtained with a real data set collected from Wikivoyage – a popular travel wiki – attained a 98.52 % classification accuracy and 91.34 % macro F-measure. In the end, this work seeks to address data reliability to prevent information detrimental and manipulation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGarcía-Méndez, S., Leal, F., de Arriba-Pérez, F., Malheiro, B., Burguillo-Rial, J.C. (2024). Explainable Classification of Wiki Streams. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-031-45642-8_7pt_PT
dc.identifier.doi10.1007/978-3-031-45642-8_7pt_PT
dc.identifier.isbn978-3-031-45641-1
dc.identifier.urihttp://hdl.handle.net/10400.22/25141
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.ispartofseriesLecture Notes in Networks and Systems;
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-45642-8_7pt_PT
dc.subjectClassificationpt_PT
dc.subjectData modellingpt_PT
dc.subjectIntelligent decision support systempt_PT
dc.subjectNatural language processingpt_PT
dc.subjectStream processingpt_PT
dc.titleExplainable Classification of Wiki Streamspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50014%2F2020/PT
oaire.citation.conferencePlaceCham, Switzerlandpt_PT
oaire.citation.endPage84pt_PT
oaire.citation.startPage75pt_PT
oaire.citation.titleWorldCIST 2023: Information Systems and Technologiespt_PT
oaire.citation.volume799pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLeal
person.familyNameBENEDITA CAMPOS NEVES MALHEIRO
person.givenNameFátima
person.givenNameMARIA
person.identifier.ciencia-id2211-3EC7-B4B6
person.identifier.ciencia-id7A15-08FC-4430
person.identifier.orcid0000-0003-4418-2590
person.identifier.orcid0000-0001-9083-4292
person.identifier.ridY-3460-2019
person.identifier.scopus-author-id57190765181
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8e77ca2d-3cb2-4346-927b-a706a5580c9e
relation.isAuthorOfPublicationbabd4fda-654a-4b59-952d-6113eebbb308
relation.isAuthorOfPublication.latestForDiscovery8e77ca2d-3cb2-4346-927b-a706a5580c9e
relation.isProjectOfPublication5efdbedb-4666-4d5b-94f0-0a938b0d5ce4
relation.isProjectOfPublication.latestForDiscovery5efdbedb-4666-4d5b-94f0-0a938b0d5ce4

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