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Privacy disclosure on social media: the role of platform features, group effects, trust and privacy concern

Jia Wang (School of Tourism and Collaborative Innovation Center of Strengthening Jiangxi Tourism Industry, Nanchang University-Qianhu Campus, Nanchang, China)
Qianqian Cao (School of Public Policy and Administration, Nanchang University-Qianhu Campus, Nanchang, China)
Xiaogang Zhu (School of Public Policy and Administration, Nanchang University-Qianhu Campus, Nanchang, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 22 May 2024

300

Abstract

Purpose

This study aims to examine the effects of multidimensional factors of platform features, group effects and emotional attitudes on social media users’ privacy disclosure intention.

Design/methodology/approach

This study collected the data from 426 respondents through an online questionnaire survey and conducted two approaches of structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) for theoretical hypothesis testing and configuration analysis of the data.

Findings

The results show that social media platform features (rewards of information disclosure, personalized service quality and data transparency), group effects (group similarity, group information interaction and network externality), individual emotional attitudes (trust and privacy concern) and control variable (gender) have a significant impact on privacy disclosure intention, as well as trust and privacy concern play mediating roles. Additionally, the fsQCA method reveals five causal configurations that explain high privacy disclosure intentions. Furthermore, the study reveals that male users pay more attention to platform features, while female users are more inclined to group effects.

Originality/value

This study attempts to construct a comprehensive model to examine the factors that affect users' intention to disclose their privacy on social media platforms. Drawing on the cognition-affect-conation model and multidimensional development theory, the model integrates multidimensional factors of platform features, group effects, trust and privacy concern to complement existing theoretical frameworks and privacy disclosure literature. By understanding the complex dynamics behind privacy disclosure, this study helps platform providers and policymakers develop effective strategies to ensure the vitality and momentum of the social media ecosystem.

Keywords

Acknowledgements

This research is partly supported by the National Social Science Foundation of China (Grant No. 21CGL025) and the Double Thousand Plan Foundation of Jiangxi Province (Grant No. jxsq2023203026).

Citation

Wang, J., Cao, Q. and Zhu, X. (2024), "Privacy disclosure on social media: the role of platform features, group effects, trust and privacy concern", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-06-2023-0253

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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