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Spanish media coverage of journalistic artificial intelligence: relevance, topics and framing

dc.contributor.authorParratt Fernández, Sonia
dc.contributor.authorChaparro Domínguez, María De Los Ángeles
dc.contributor.authorMartín Sánchez, Isabel María
dc.date.accessioned2025-01-15T09:20:03Z
dc.date.available2025-01-15T09:20:03Z
dc.date.issued2024-07-01
dc.description.abstractArtificial intelligence (AI) has become a much-discussed topic due to its implementation in many areas, including journalism. This article examines the coverage of journalistic AI in Spanish written media, in particular the relevance allocated to it, the topics that are addressed, and the framing from which it is approached. Quantitative content analysis and statistical analysis were used. Although journalistic AI only appears as the main topic in a third of cases, it is increasingly present, it is distributed across more sections, and it mostly appears in self-written articles. Despite informative texts prevailing, journalists author the majority of interpretative and practically all opinion pieces, thus increasing knowledge and promoting public debate. They deal largely with the most widespread application of AI, which is news automation, ranking well above the issues of job loss and ethics. Although journalistic AI is generally framed from a perspective of its benefits rather than from its risks, some recent changes are observed: growing concern about its dangers and its ethical implications; the detection of numerous pieces with a Personal Frame, where journalists reflect on their profession and the use of ChatGPT; and the growing relevance of the Episodic Frame as specific AI products develop. This study could have examined all types of media, although that approach would have gone beyond the exploratory nature of this pioneering research. With this work we extend scientific production on journalistic AI in Spain, where this perspective has not been analysed.
dc.description.departmentDepto. de Periodismo y Comunicación Global
dc.description.facultyFac. de Ciencias de la Información
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.statuspub
dc.identifier.citationParratt-Fernández, S., Chaparro-Domínguez, M. Á., & Martín-Sánchez, I. M. (2024). Spanish media coverage of journalistic artificial intelligence: relevance, topics and framing [Cobertura mediática de la inteligencia artificial periodística en España: relevancia, temas y framing]. Revista Mediterránea de Comunicación/Mediterranean Journal of Communication, 15(2), e25169. https://www.doi.org/10.14198/MEDCOM.25169
dc.identifier.doi10.14198/MEDCOM.25169
dc.identifier.issn1989-872X
dc.identifier.officialurlhttps://www.doi.org/10.14198/MEDCOM.25169
dc.identifier.relatedurlhttps://www.mediterranea-comunicacion.org/article/view/25169
dc.identifier.urihttps://hdl.handle.net/20.500.14352/114395
dc.issue.number2
dc.journal.titleRevista Mediterránea de Comunicación
dc.language.isoeng
dc.page.final14
dc.page.initial1
dc.publisherUniversidad de Alicante
dc.relation.projectIDPlan Propio/Ref.PR3/23-30837/Universidad Complutense/Aplicación de la inteligencia artificial al periodismo: desafíos profesionales e implicaciones en los contenidos, las audiencias y la formación
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu3
dc.subject.keywordArtificial intelligence; framing: journalism; media; media coverage; Spain.
dc.subject.keywordFraming
dc.subject.keywordJournalism
dc.subject.keywordMedia
dc.subject.keywordMedia coverage
dc.subject.keywordSpain
dc.subject.ucmCiencias Sociales
dc.subject.unesco63 Sociología
dc.titleSpanish media coverage of journalistic artificial intelligence: relevance, topics and framing
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number15
dspace.entity.typePublication
relation.isAuthorOfPublication5daf30b7-b85f-42f1-afc9-1162d7a12350
relation.isAuthorOfPublication5e8d9b19-3abb-4b5f-bd32-ea8cb99de0a6
relation.isAuthorOfPublication21d0f9a1-93ba-48b2-9788-85162fc49190
relation.isAuthorOfPublication.latestForDiscovery5daf30b7-b85f-42f1-afc9-1162d7a12350

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