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Artificial Intelligence as an Opportunity for Journalism: Insights from the Brazilian and Portuguese Media

dc.contributor.authorCanavilhas, João
dc.contributor.authorIoscote, Fabia Cristiane
dc.contributor.authorGonçalves, Adriana
dc.date.accessioned2024-11-06T10:27:12Z
dc.date.available2024-11-06T10:27:12Z
dc.date.issued2024-11
dc.description.abstractArtificial Intelligence (AI) has been emerging as a topic of significant interest, attracting the attention of the public and leading to an increase in research and on media coverage of this technology. This article examines how the Brazilian and Portuguese media represent AI in journalism and the challenges it poses. Using digital methods, this study analysed 60 news articles published between June 2022 and June 2024. The data were collected through an anonymous search on Google News, and the content was analysed using sentiment analysis with the PTNews software, followed by a similarity analysis using the Iramuteq software. The results show a predominantly positive sentiment towards AI in journalism, with 91.8% of articles highlighting its benefits, such as increased efficiency and the automation of routine tasks. However, concerns about disinformation, ethical implications, and the potential erosion of journalistic credibility were less emphasised. The analysis also identified key themes, including AI’s dual role as both an enabler and a threat to journalism, the importance of human oversight, and the challenges of newsroom adaptation. The findings suggest that the Brazilian and Portuguese media generally present AI as an opportunity for journalism, often downplaying the associated risks and ethical challenges.pt_PT
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT) through a and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) through a PhD scholarship—Finance Code 001: Fabia Ioscote (88881.934176/2024-01).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCanavilhas, J.; Ioscote, F.; Gonçalves, A. (2024). Artificial Intelligence as an Opportunity for Journalism: Insights from the Brazilian and Portuguese Media. Soc. Sci, 13 (11), 590. https://doi.org/10.3390/socsci13110590pt_PT
dc.identifier.doi10.3390/socsci13110590pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/14571
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationAlgoritmos e inteligência artificial na produção jornalística
dc.relation.publisherversionhttps://www.mdpi.com/2076-0760/13/11/590pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInteligência Artificialpt_PT
dc.subjectArtificial Intelligencept_PT
dc.subjectJornalismopt_PT
dc.subjectJournalismpt_PT
dc.subjectDigital methodspt_PT
dc.subjectMedia coveragept_PT
dc.subjectSentiment analysispt_PT
dc.titleArtificial Intelligence as an Opportunity for Journalism: Insights from the Brazilian and Portuguese Mediapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAlgoritmos e inteligência artificial na produção jornalística
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//UI%2FBD%2F152717%2F2022/PT
oaire.citation.issue11pt_PT
oaire.citation.startPage590pt_PT
oaire.citation.titleSocial Sciencespt_PT
oaire.citation.volume13pt_PT
person.familyNameCanavilhas
person.familyNameCristiane Ioscote
person.familyNameAntunes Gonçalves
person.givenNameJoão
person.givenNameFabia
person.givenNameAdriana Alexandra
person.identifier.ciencia-id7810-6698-C3E8
person.identifier.ciencia-idA31A-69AC-784D
person.identifier.orcid0000-0002-2394-5264
person.identifier.orcid0000-0002-6318-026X
person.identifier.orcid0000-0002-8028-8248
person.identifier.ridB-7992-2011
person.identifier.scopus-author-id37060317500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication58322b39-146a-4881-97bc-182603d2843e
relation.isAuthorOfPublicationfcf767d0-a83d-4e78-8bdd-c759471e5eae
relation.isAuthorOfPublication5ed6c782-1fa7-4611-91ef-ab72c29b4922
relation.isAuthorOfPublication.latestForDiscovery5ed6c782-1fa7-4611-91ef-ab72c29b4922
relation.isProjectOfPublication62f7f22d-d585-4aca-acf7-880424b2004e
relation.isProjectOfPublication.latestForDiscovery62f7f22d-d585-4aca-acf7-880424b2004e

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