ArticleJournal of the American Medical Informatics Association : JAMIA2025
The influence of recommendation algorithms on users' intention to adopt health information: does trust belief play a role?
Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- From information literacy to health literacy: AI-driven transformation in university libraries under digital public health-a perspective.Frontiers in public health · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesRecommendation systems have emerged as prevalent and effective tools. Investigating the impact of recommendation algorithms on users' health information adoption behavior can aid in optimizing health information services and advancing the construction and development of online health community platforms. MATERIALS AND
methodsThis study designed scenario experiments for social- and profile-oriented recommendations and collected data accordingly. The Theory of Knowledge-Based Trust was applied to explain users' trust beliefs in algorithmic recommendations. Nonparametric tests, logistic regression, and bootstrapping were used to test the variables' main, mediating, and moderating effects.
resultsSocial-oriented and profile-oriented recommendations were significantly correlated with users' intentions to adopt information. Competence belief (CB), benevolence belief (BB), and integrity belief (IB) mediated this relationship. Overall, the moderating effect of privacy concerns (PCs) is significant. DISCUSSION: Both social- and profile-oriented recommendations can enhance users' willingness to adopt health information by facilitating their knowledge-based trust, with integrity beliefs playing a more substantial mediating role. Privacy concerns negatively moderate the impact of profile-oriented recommendations on benevolence and competence beliefs on information adoption intention.
conclusionsThis study enriches the theoretical foundation of user health information adoption behavior in algorithmic recommendation contexts and provides new insights into the practice of health information on social media platforms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.