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How News Audiences Allocate Trust in the Digital Age: A Figuration Perspective

[journal article]

Mangold, Frank
Bachl, Marko
Prochazka, Fabian

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... view more

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.... view less

Keywords
quantitative method; Federal Republic of Germany; digitalization; confidence; social media; young adult; journalism; online media; news; source of information; interpersonal communication; survey research; media

Classification
Communicator Research, Journalism
Interactive, electronic Media

Free Keywords
journalistic media; quantitative research

Document language
English

Publication Year
2022

Page/Pages
p. 1-26

Journal
Journalism & Mass Communication Quarterly (2022) OnlineFirst

DOI
https://doi.org/10.1177/10776990221100515

ISSN
2161-430X

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0

FundingGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.