Publication
Identification and explanation of disinformation in wiki data streams
datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
dc.contributor.author | Arriba-Pérez, Francisco de | |
dc.contributor.author | García-Méndez, Silvia | |
dc.contributor.author | Leal, Fátima | |
dc.contributor.author | Malheiro, Benedita | |
dc.contributor.author | Burguillo, Juan C. | |
dc.date.accessioned | 2025-02-14T13:34:56Z | |
dc.date.available | 2025-02-14T13:34:56Z | |
dc.date.issued | 2025-02-02 | |
dc.description.abstract | Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and accuracy, potentially negatively impacting readers’ critical judgment due to disinformation. This work aims to contribute to the automatic data quality validation field, addressing the rapid growth of online content on wiki pages. Our scalable solution includes stream-based data processing with feature engineering, feature analysis and selection, stream-based classification, and real-time explanation of prediction outcomes. The explainability dashboard is designed for the general public, who may need more specialized knowledge to interpret the model’s prediction. Experimental results on two datasets attain approximately 90% values across all evaluation metrics, demonstrating robust and competitive performance compared to works in the literature. In summary, the system assists editors by reducing their effort and time in detecting disinformation. | eng |
dc.identifier.citation | Arriba-Pérez F de, García-Méndez S, Leal F, Malheiro B, Burguillo JC. Identification and explanation of disinformation in wiki data streams. Integrated Computer-Aided Engineering. 2025;0(0). doi:10.1177/10692509241306580 | |
dc.identifier.doi | 10.1177/10692509241306580 | |
dc.identifier.issn | 1069-2509 | |
dc.identifier.issn | 1875-8835 | |
dc.identifier.uri | http://hdl.handle.net/10400.22/29529 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | SAGE Publications | |
dc.relation | Fundação para a Ciência e a Tecnologia project UIDP/50014/2020 | |
dc.relation | Xunta de Galicia grants ED481B-2022-093 and ED481D 2024/014 | |
dc.relation.hasversion | https://doi.org/10.1177/10692509241306580 | |
dc.relation.ispartof | Integrated Computer-Aided Engineering | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Disinformation | |
dc.subject | explainable artificial intelligence | |
dc.subject | machine learning | |
dc.subject | natural language processing | |
dc.subject | stream processing | |
dc.subject | wikis | |
dc.title | Identification and explanation of disinformation in wiki data streams | eng |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Integrated Computer-Aided Engineering | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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