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Adapting to Affordances and Audiences? : a Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter

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Hase, Valerie ; Boczek, Karin ; Scharkow, Michael:
Adapting to Affordances and Audiences? : a Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter.
In: Digital Journalism. 11 (2023) 8. - S. 1-22.
ISSN 2167-0811 ; 2167-082x

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Volltext Link zum Volltext (externe URL):
https://doi.org/10.1080/21670811.2022.2128389

Kurzfassung/Abstract

To capture audiences’ attention on social media, news outlets may disseminate journalistic content in line with platform instead of mass media logics, indicating a platformization of news. Taking a cross-platform, multi-modal approach, we analyze how German outlets select and adapt existing stories for Facebook, Instagram, TikTok, and Twitter. We combine a computational and a manual content analysis of articles and social media posts (N = 4,412), including related images/videos (N = 6,850). Overall, evidence for outlets following platform logics on social media is limited: News outlets select and adapt news on a technical level, for instance by distributing more content on news-centered platforms like Twitter or by fostering on-platform engagement by excluding external links on Instagram. However, they do not systematically select or adapt news on a more communicative level, for instance by preferring specific topics for social media or by using more engaging language on platforms.

Weitere Angaben

Publikationsform:Artikel
Schlagwörter:Facebook; Twitter; social media; computational methods; Instagram; Digital news; platformization; TikTok
Sprache des Eintrags:Englisch
Institutionen der Universität:Sprach- und Literaturwissenschaftliche Fakultät > Journalistik > Juniorprofessur für Digitalen Journalismus
DOI / URN / ID:10.1080/21670811.2022.2128389
Open Access: Freie Zugänglichkeit des Volltexts?:Ja
Peer-Review-Journal:Ja
Verlag:Routledge, Taylor & Francis Group
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Ja
KU.edoc-ID:31280
Eingestellt am: 20. Dez 2022 11:23
Letzte Änderung: 11. Jul 2024 14:18
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/31280/
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