Rethinking the relation between media and their audience: the discursive construction of the risk of artificial intelligence in the press of Belgium, France, Portugal, and Spain

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Ciencias da Comunicación
dc.contributor.authorGonzález Arias, Cristian Augusto
dc.contributor.authorLópez García, Xosé
dc.date.accessioned2025-03-04T12:49:49Z
dc.date.available2025-03-04T12:49:49Z
dc.date.issued2024
dc.description.abstractIt is believed that the way in which media speak about emerging technologies can influence the public perception of their benefits and risks. Risk statements highlight the possible negative effects, real or imaginary, that a particular event could have on audiences. Just as journalism varies over space and time, what is considered a risk is deeply rooted in specific social, economic, and technological contexts. This variability implies that journalistic practices are neither universal nor static; instead, they change and adapt according to circumstance. Moreover, technological advances have allowed the press to better understand their audiences and adhere to their demands. In this context, the discursive construction of the risk of artificial intelligence was studied in the press of four European countries: Belgium, Spain, France, and Portugal. In total, 290 texts published in January 2024 were examined. Mentions of “artificial intelligence” were found in the following newspapers: Le Soir, El País, Le Figaro, and Público. Fourteen risk categories and seven groups of voices responsible for their enunciation were identified, with significant variations between the studied newspapers. It was concluded that national contexts make it possible to differentiate the way in which the press communicates the risks associated with artificial intelligence. Although these results do not directly reflect public awareness of the risks in each of these countries, they open a line of research on the possible influences of the progressive monitoring and knowledge of audiences in the construction of the media agenda
dc.description.peerreviewedSI
dc.description.sponsorshipThis research was funded byMICIU/AEI and FEDER/UE grant number PID2021-122534OB-C21
dc.identifier.citationGonzález Arias, C. & López García, X. (2024). Rethinking the relation between media and their audience: the discursive construction of the risk of artificial intelligence in the press of Belgium, France, Portugal, and Spain. Journalism and Media, 5(3), 1023-1037; https://doi.org/10.3390/journalmedia5030065
dc.identifier.doi10.3390/journalmedia5030065
dc.identifier.essn2673-5172
dc.identifier.urihttps://hdl.handle.net/10347/40043
dc.issue.number3
dc.journal.titleJournalism and Media
dc.language.isoeng
dc.page.final1037
dc.page.initial1023
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/ Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-122534OB-C21/ES/MEDIOS NATIVOS DIGITALES EN ESPAÑA: ESTRATEGIAS, COMPETENCIAS, IMPLICACION SOCIAL Y (RE)DEFINICION DE PRACTICAS EN LA PRODUCCION Y DIFUSION PERIODISTICAS/
dc.relation.publisherversionhttps://doi.org/10.3390/journalmedia5030065
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRisk
dc.subjectArtificial intelligence
dc.subjectPublic debate
dc.subjectAudience
dc.titleRethinking the relation between media and their audience: the discursive construction of the risk of artificial intelligence in the press of Belgium, France, Portugal, and Spain
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number5
dspace.entity.typePublication
relation.isAuthorOfPublicationc6781f09-92de-4be3-8a96-b38e18857da6
relation.isAuthorOfPublication1ce53217-b935-4507-b237-e023e54092a2
relation.isAuthorOfPublication.latestForDiscoveryc6781f09-92de-4be3-8a96-b38e18857da6

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