ArticleScientific reports2025
An exploration of the influencing factors of privacy fatigue among mobile social media users from the configuration perspective.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Digital Intelligence, Emotional Intelligence, Self-Disclosure, and Fear of Missing Out Among Thai Generation Z: A Cross-Sectional PLS-SEM Study.International journal of environmental research and public health · 2026Article
- Understanding healthcare professionals' participation in social media health knowledge popularization: insights from the UTAUT model and perceived risk theory.BMC health services research · 2025Article
- Privacy threats versus trust: a behavioral decision approach to social media disclosure intention.Frontiers in psychology · 2025Article
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Authors and funding
4 authors.
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Abstract
Privacy fatigue caused by privacy data disclose and the complexity of privacy control has become an important factor influencing people's privacy decision-making behavior. At present, academia mainly studies privacy fatigue as a key determinant to explain the privacy paradox problem, but there is insufficient attention to its influencing factors and specific pathway of occurrence. Exploring the antecedents of privacy fatigue is of great significance for alleviating users' subjective privacy detachment and promoting privacy protection. Based on the Stressor-Strain-Outcome (SSO) theoretical framework, this study aims to explore the antecedents of privacy fatigue through the qualitative comparative analysis method of fuzzy set (fsQCA). The results show that there are three patterns of pathways which lead to privacy fatigue, namely the rational pattern, emotional pattern, and strain pattern. This study not only provides theoretical reference for understanding the antecedents of privacy fatigue among users but also offers new practical solutions for user privacy management.
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