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

DOI

10.2991/978-94-6463-636-9_22How to use a DOI?

Keywords

Social networks; relationship strength; information-sharing behavior; privacy awareness; moderating effect

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jing Li
AU  - Chaomin Gao
PY  - 2024
DA  - 2024/12/31
TI  - How Relationship Strength in Social Networks Affects Users’ Information Sharing Behavior: an SPSS-Based Data Analysis
BT  - Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
PB  - Atlantis Press
SP  - 246
EP  - 257
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-636-9_22
DO  - 10.2991/978-94-6463-636-9_22
ID  - Li2024
ER  -