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Algorithmic recommendations enabling and constraining information practices among young people
Information Studies, Faculty of Humanities, University of Oulu, Oulu, Finland.ORCID iD: 0009-0008-2523-1098
Information Studies, Faculty of Humanities, University of Oulu, Oulu, Finland.ORCID iD: 0000-0001-7577-3057
University of Borås, Faculty of Librarianship, Information, Education and IT. (Informationspraktiker och digitala kulturer)ORCID iD: 0000-0002-8293-8208
2024 (English)In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 80, no 7, p. 25-42Article in journal (Refereed) Published
Abstract [en]

Purpose

This study addresses how algorithmic recommendations and their affordances shape everyday information practices among young people.

Design/methodology/approach

Thematic interviews were conducted with 20 Finnish young people aged 15–16 years. The material was analysed using qualitative content analysis, with a focus on everyday information practices involving online platforms.

Findings

The key finding of the study is that the current affordances of algorithmic recommendations enable users to engage in more passive practices instead of active search and evaluation practices. Two major themes emerged from the analysis: enabling not searching, inviting high trust, which highlights the how the affordances of algorithmic recommendations enable the delegation of search to a recommender system and, at the same time, invite trust in the system, and constraining finding, discouraging diversity, which focuses on the constraining degree of affordances and breakdowns associated with algorithmic recommendations.

Originality/value

This study contributes new knowledge regarding the ways in which algorithmic recommendations shape the information practices in young people's everyday lives specifically addressing the constraining nature of affordances.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2024. Vol. 80, no 7, p. 25-42
Keywords [en]
search engines, information practices, relevance, recommender systems, information searching, everyday life, algorithmic recommendations
National Category
Information Studies
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-31352DOI: 10.1108/jd-05-2023-0102ISI: 001143170600001Scopus ID: 2-s2.0-85182450613OAI: oai:DiVA.org:hb-31352DiVA, id: diva2:1829735
Available from: 2024-01-19 Created: 2024-01-19 Last updated: 2024-04-09Bibliographically approved

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Haider, Jutta

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