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[conference paper]

dc.contributor.authorMeißner, Floriande
dc.date.accessioned2024-12-06T08:24:56Z
dc.date.available2024-12-06T08:24:56Z
dc.date.issued2024de
dc.identifier.issn2576-9111de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/98307
dc.description.abstractWhile several studies have explored news coverage of artificial intelligence in general, knowledge of media reporting on generative A.I. is still scarce. First studies present contradictory findings regarding how the emerging technology is assessed by news media. Therefore, this exploratory study asks: How are ChatGPT and other forms of text generating A.I. reported in the news? Taking Germany as a case, a manual quantitative content analysis of articles (n = 560) published between November 2022 and April 2023 by major online news outlets was conducted. The results show that the most frequently mentioned opportunities are related to the automation or support of creative processes while the most prominent risk is fake content. All in all, the news reports highlight opportunities more often than risks. Furthermore, industry voices clearly dominate news reporting and technical solutions are most frequently mentioned. To conclude, German media reporting on artificial intelligence seems to follow a relatively narrow perspective so far and should therefore open up for a more diverse debate about how to mitigate the risks related to artificial intelligence.de
dc.languageende
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.ddcTechnik, Technologiede
dc.subject.ddcTechnology (Applied sciences)en
dc.subject.otherOpenAI; ChatGPT; content analysisde
dc.titleRisks and opportunities of 'generative A.I.': How do news media cover ChatGPT?de
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.collectionProceedings of the International Crisis and Risk Communication Conference (ICRCC) 2024de
dc.publisher.countryUSAde
dc.subject.classozMedieninhalte, Aussagenforschungde
dc.subject.classozMedia Contents, Content Analysisen
dc.subject.classozTechnikfolgenabschätzungde
dc.subject.classozTechnology Assessmenten
dc.subject.thesozJournalismusde
dc.subject.thesozjournalismen
dc.subject.thesozMassenmediende
dc.subject.thesozmass mediaen
dc.subject.thesozOnline-Mediende
dc.subject.thesozonline mediaen
dc.subject.thesozRisikokommunikationde
dc.subject.thesozrisk communicationen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozBerichterstattungde
dc.subject.thesozreportingen
dc.subject.thesozRisikoabschätzungde
dc.subject.thesozrisk assessmenten
dc.identifier.urnurn:nbn:de:0168-ssoar-98307-7
dc.rights.licenceDigital Peer Publishing Licence - Basismodulde
dc.rights.licenceBasic Digital Peer Publishing Licenceen
ssoar.contributor.institutionHochschule Macromediade
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10034699
internal.identifier.thesoz10037618
internal.identifier.thesoz10064820
internal.identifier.thesoz10049300
internal.identifier.thesoz10043031
internal.identifier.thesoz10038258
internal.identifier.thesoz10056789
dc.type.stockincollectionde
dc.type.documentKonferenzbeitragde
dc.type.documentconference paperen
dc.source.pageinfo38-41de
internal.identifier.classoz1080405
internal.identifier.classoz20800
internal.identifier.document16
dc.contributor.corporateeditorInternational Crisis and Risk Communication Association (ICRCA)
dc.source.conferenceInternational Crisis and Risk Communication Conference (ICRCC)de
dc.event.cityOrlando, Fl.de
internal.identifier.corporateeditor1454
internal.identifier.ddc070
internal.identifier.ddc600
dc.date.conference2024de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence4
internal.identifier.pubstatus1
internal.identifier.review2
dc.subject.classhort10800de
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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