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How News Audiences Allocate Trust in the Digital Age: A Figuration Perspective
[Zeitschriftenartikel]
Abstract The article enriches the understanding of trust in news at a time when mass and interpersonal communication have merged in the digital sphere. We propose disentangling individual-level patterns of trust allocation (i.e., trust figurations) across journalistic media, social media, and peers to reflec... mehr
The article enriches the understanding of trust in news at a time when mass and interpersonal communication have merged in the digital sphere. We propose disentangling individual-level patterns of trust allocation (i.e., trust figurations) across journalistic media, social media, and peers to reflect the multiplicity among modern news audiences. A latent class analysis of a representative survey among German young adults revealed four figurations: traditionalists, indifferentials, optimists, and cynics. Political characteristics and education corresponded with substantial heterogeneity in individuals’ trust in news sources, their inclination to differentiate between sources, and the ways of integrating trust in journalistic and non-journalistic sources.... weniger
Thesaurusschlagwörter
Bundesrepublik Deutschland; quantitative Methode; junger Erwachsener; Medien; Soziale Medien; Journalismus; Online-Medien; Nachrichten; Digitalisierung; interpersonelle Kommunikation; Informationsquelle; Vertrauen; Umfrageforschung
Klassifikation
Kommunikatorforschung, Journalismus
interaktive, elektronische Medien
Freie Schlagwörter
journalistic media; quantitative research
Sprache Dokument
Englisch
Publikationsjahr
2022
Seitenangabe
S. 1-26
Zeitschriftentitel
Journalism & Mass Communication Quarterly (2022) OnlineFirst
DOI
https://doi.org/10.1177/10776990221100515
ISSN
2161-430X
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Creative Commons - Namensnennung 4.0
FörderungGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185