Algorithm dependency in platformized news use


Schaetz, Nadja ; Gagrčin, Emilija ; Toth, Roland ; Emmer, Martin



DOI: https://doi.org/10.1177/14614448231193093
URL: https://journals.sagepub.com/doi/full/10.1177/1461...
Additional URL: https://www.researchgate.net/publication/373505545...
Document Type: Article
Year of publication Online: 2023
The title of a journal, publication series: New Media & Society
Volume: tba
Issue number: tba
Page range: 1-18
Place of publication: London [u.a.]
Publishing house: Sage Publ.
ISSN: 1461-4448 , 1461-7315
Publication language: English
Institution: School of Humanities > Medien- und Kommunikationswissenschaft (Naab 2022-)
Subject: 070 News media, journalism, publishing
Abstract: Previous research has highlighted the ambiguous experience of algorithmic news curation whereby people are simultaneously comfortable with algorithms, but also concerned about the underlying data collection practices. The present article builds on media dependency theory and news-finds-me (NFM) perceptions to explore this tension. Empirically, we analyze original survey data from six European countries (Germany, Sweden, France, Greece, Poland, and Italy, n = 2,899) to investigate how young Europeans’ privacy concerns and attitudes toward algorithms affect NFM. We find that a more positive attitude toward algorithms and more privacy concerns are related to stronger NFM. The study highlights power asymmetries in platformized news use and suggests that the ambivalent experiences might be a result of algorithm dependency, whereby individuals rely on algorithms in platformized news use to meet their information needs, despite accompanying risks and concerns.




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