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[Konferenzbeitrag]

dc.contributor.authorGrimme, Meikede
dc.contributor.editorHaumer, Floriande
dc.contributor.editorKolo, Castulusde
dc.contributor.editorMütterlein, Joschkade
dc.date.accessioned2024-04-17T09:58:36Z
dc.date.available2024-04-17T09:58:36Z
dc.date.issued2022de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/93811
dc.description.abstractArtificial intelligence (AI) is increasingly becoming part of many processes in the news media industry. It is seen as highly relevant for speeding up workflows and content personalisation. At the same time, the introduction of AI is having a strong impact on workflows, trust, roles and responsibilities of the professional newsworkers, who are consequently often reluctant to collaborate with the new, intelligent technology. These case study analyses investigate with an HMC (human-machine communication) lens how to create conditions for supporting and improving professional-AI collaboration. Besides identifying relevant drivers, existing overlaps of human-machine collaboration theory and other theoretical fields as well as practical measures for management and AI providers to promote professional-AI collaboration in the newsroom will be uncovered. The results highlight (1) comprehensibility of the AI, (2) the AI’s benefits and (3) knowledge sharing as most important drivers. The study introduces furthermore concrete indications for future research.de
dc.languageende
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.otherprofessional-AI collaboration; human-AI collaboration; human-machine communication; HMC; news mediade
dc.titleDrivers of Professional-AI Collaboration: Case Study Analyses of the German News Media Industryde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.collectionReorganization of Media Industries: Digital Transformation, Entrepreneurship and Regulationde
dc.publisher.countryDEUde
dc.publisher.cityMünchende
dc.subject.classozinteraktive, elektronische Mediende
dc.subject.classozInteractive, electronic Mediaen
dc.subject.classozKommunikatorforschung, Journalismusde
dc.subject.classozCommunicator Research, Journalismen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozNachrichtende
dc.subject.thesoznewsen
dc.subject.thesozMedienwirtschaftde
dc.subject.thesozmedia industryen
dc.subject.thesozArbeitsablaufde
dc.subject.thesozworkflowen
dc.subject.thesozPersonalisierungde
dc.subject.thesozpersonalizationen
dc.subject.thesozneue Technologiede
dc.subject.thesoznew technologyen
dc.subject.thesozMensch-Maschine-Systemde
dc.subject.thesozman-machine systemen
dc.subject.thesozFallstudiede
dc.subject.thesozcase studyen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionDGPuKde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10043031
internal.identifier.thesoz10037571
internal.identifier.thesoz10052870
internal.identifier.thesoz10043625
internal.identifier.thesoz10034400
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internal.identifier.thesoz10042496
internal.identifier.thesoz10043220
dc.type.stockincollectionde
dc.type.documentKonferenzbeitragde
dc.type.documentconference paperen
dc.source.pageinfo23de
internal.identifier.classoz1080404
internal.identifier.classoz1080406
internal.identifier.document16
dc.contributor.corporateeditorDeutsche Gesellschaft für Publizistik- und Kommunikationswissenschaft e.V.
dc.source.conferenceEuropean Media Management Associationde
dc.event.cityMunichde
internal.identifier.corporateeditor627
internal.identifier.ddc070
dc.identifier.doihttps://doi.org/10.21241/ssoar.93811
dc.date.conference2022de
dc.description.pubstatusErstveröffentlichungde
dc.description.pubstatusPrimary Publicationen
internal.identifier.licence16
internal.identifier.pubstatus5
internal.identifier.review1
dc.subject.classhort29900de
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede
ssoar.doi.registrationtruede


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