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dc.contributor.authorGranderath, Lailade
dc.contributor.authorGrobb, Juliade
dc.contributor.authorHeimann, Marleende
dc.contributor.authorKlaproth, Fabiande
dc.contributor.authorÖtting, Hannahde
dc.contributor.editorGodulla, Alexanderde
dc.contributor.editorDoberts, Sabrinade
dc.contributor.editorMüller, Carolinade
dc.contributor.editorÖtting, Hannahde
dc.date.accessioned2021-10-27T08:25:21Z
dc.date.available2021-10-27T08:25:21Z
dc.date.issued2021de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/75421
dc.description.abstractArtificial Intelligence (AI) is increasingly being implemented in journalism, possibly leading to various fundamental changes within the field. Especially the forerunner countries U.S. and Germany make use of the technologies in several sub-sectors of reporting. While pioneer-studies exploring said implementation have focused on audience, as well as practitioners’ perceptions of AI, a focus on the democratically crucial political journalism is lacking. Therefore, the given paper investigates how those working in the journalistic field in Germany and the U.S. evaluate AI-usage in political reporting. Scopes, contexts, and opportunities, as well as risks of the technologies are considered. Eleven interviews with experts from leading news organizations were conducted and analyzed using a qualitative content analysis, focusing on comparisons between the two countries. Results show varying strategies of AI implementation within the two countries, with election coverage being the predominant political topic reported on with the help of AI. Furthermore, the findings show that AI could possibly free journalists from routine tasks, and allows for more in-depth and large-scale research, which in turn could lead to an increase in the qualitative standard of political journalism. However, journalists also point towards ethical and economic concerns. Considering the results, directions for future research and the practice of journalism are discussed.de
dc.languageende
dc.relation.ispartof75399
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.ddcTechnik, Technologiede
dc.subject.ddcTechnology (Applied sciences)en
dc.subject.otherAI; Political Journalismde
dc.titleWhen Robots Write the News: A Guideline Based Interview Study on Opportunities and Risks of Using Artificial Intelligence in Political Reporting in Germany and the U.S.de
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.collectionCommunicating with, through, and as the Recipient: Changing the Rules in Strategic Communication and Journalismde
dc.publisher.countryDEUde
dc.publisher.cityLeipzigde
dc.subject.classozKommunikatorforschung, Journalismusde
dc.subject.classozCommunicator Research, Journalismen
dc.subject.classozTechnikfolgenabschätzungde
dc.subject.classozTechnology Assessmenten
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozJournalismusde
dc.subject.thesozjournalismen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozUSAde
dc.subject.thesozUnited States of Americaen
dc.identifier.urnurn:nbn:de:0168-ssoar-75421-7
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionUniversität Leipzig, Institut für Kommunikations- und Medienwissenschaftde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10043031
internal.identifier.thesoz10034699
internal.identifier.thesoz10037571
internal.identifier.thesoz10041244
dc.type.stockincollectionde
dc.type.documentSammelwerksbeitragde
dc.type.documentcollection articleen
dc.source.pageinfo102-131de
internal.identifier.classoz1080406
internal.identifier.classoz20800
internal.identifier.document25
internal.identifier.ddc070
internal.identifier.ddc600
dc.description.pubstatusErstveröffentlichungde
dc.description.pubstatusPrimary Publicationen
internal.identifier.licence16
internal.identifier.pubstatus5
internal.identifier.review2
dc.subject.classhort10800de
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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