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How Relationship Strength in Social Networks Affects Users’ Information Sharing Behavior: an SPSS-Based Data Analysis

In: Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)

Author

Listed:
  • Jing Li

    (BaiSe University
    Rattana Bundit University)

  • Chaomin Gao

    (BaiSe University)

Abstract

This study aims to explore how relationship strength in social networks influences users’ information-sharing behavior and examine the moderating role of privacy awareness. A survey method was employed to collect 269 valid responses, covering users’ information-sharing behavior, relationship strength, and privacy awareness in social networks. SPSS statistical software was used for data analysis, including descriptive statistics, correlation analysis, multiple linear regression, and hierarchical regression to test the moderating effect of privacy awareness. The results indicate that strong ties significantly promote the sharing of private information, while weak ties significantly promote the sharing of public information. Privacy awareness suppresses the tendency to share private information in strong ties and encourages users to share public information in weak ties. The conclusion suggests that social platforms should provide personalized privacy settings to meet users’ varying needs and enhance user education on privacy protection to optimize their information-sharing strategies.

Suggested Citation

  • Jing Li & Chaomin Gao, 2024. "How Relationship Strength in Social Networks Affects Users’ Information Sharing Behavior: an SPSS-Based Data Analysis," Advances in Economics, Business and Management Research, in: Yongjun Guan & Yan Duan & Tao Wang & Chuan Liang (ed.), Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024), pages 246-257, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-636-9_22
    DOI: 10.2991/978-94-6463-636-9_22
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