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Application of artificial intelligence techniques to detect fake news: A review

dc.contributor.authorBerrondo Otermin, Maialen
dc.contributor.authorSarasa Cabezuelo, Antonio
dc.date.accessioned2024-05-08T10:46:37Z
dc.date.available2024-05-08T10:46:37Z
dc.date.issued2023-12-02
dc.description2023 Descuento MDPI
dc.description.abstractWith the rapid growth of social media platforms and online news consumption, the proliferation of fake news has emerged as a pressing concern. Detecting and combating fake news has become crucial in ensuring the accuracy and reliability of information disseminated through social media. Machine learning plays a crucial role in fake news detection due to its ability to analyze large amounts of data and identify patterns and trends that are indicative of misinformation. Fake news detection involves analyzing various types of data, such as textual or media content, social context, and network structure. Machine learning techniques enable automated and scalable detection of fake news, which is essential given the vast volume of information shared on social media platforms. Overall, machine learning provides a powerful tool for detecting and preventing the spread of fake news on social media. This review article provides an extensive analysis of recent advancements in fake news detection. The chosen articles cover a wide range of approaches, including data mining, deep learning, natural language processing (NLP), ensemble learning, transfer learning, and graph-based techniques.
dc.description.departmentDepto. de Sistemas Informáticos y Computación
dc.description.facultyFac. de Informática
dc.description.fundingtypeDescuento UCM
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.statuspub
dc.identifier.citationBerrondo-Otermin, M.; Sarasa-Cabezuelo, A. Application of Artificial Intelligence Techniques to Detect Fake News: A Review. Electronics 2023, 12, 5041. https://doi.org/10.3390/electronics12245041
dc.identifier.doi10.3390/electronics12245041
dc.identifier.essn2079-9292
dc.identifier.officialurlhttps://doi.org/10.3390/electronics12245041
dc.identifier.urihttps://hdl.handle.net/20.500.14352/103810
dc.issue.number24
dc.journal.titleElectronics
dc.language.isoeng
dc.page.final5041-12
dc.page.initial5041-1
dc.publisherMDPI
dc.relation.projectIDPID2021-123048NB-I00
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu004.6
dc.subject.cdu004.85
dc.subject.keywordFake news detection;
dc.subject.keywordSocial media
dc.subject.keywordData mining
dc.subject.keywordDeep learning
dc.subject.keywordNatural language processing
dc.subject.keywordEnsemble learning
dc.subject.keywordTransfer learning
dc.subject.keywordGraph-based techniques
dc.subject.keywordReview article
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco3304 Tecnología de Los Ordenadores
dc.titleApplication of artificial intelligence techniques to detect fake news: A review
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublication768e9865-e7a1-4ff7-8765-24f475180751
relation.isAuthorOfPublication.latestForDiscovery768e9865-e7a1-4ff7-8765-24f475180751

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