Understanding Self-Disclosure in Social Networking Sites: The Influence of Trust and Perceived Privacy Risk

Abstract This study investigates the connection between perceived privacy risk and self-disclosure on social networking sites (SNS) through the lens of Privacy Calculus Theory. While SNS platforms offer social benefits, they also pose privacy risks like data breaches. A survey of users of 162 SNS in Taoyuan City, Taiwan, analyzed trust, privacy risk, and self-disclosure using statistical methods. Findings reveal that trust significantly increases self-disclosure, while perceived privacy risk has little impact. Users may downplay privacy concerns or prioritize social engagement. Trust in SNS providers also does not reduce privacy concerns. Older and more educated users perceive higher privacy risks, but gender, marital status, and occupation show no significant effects. Since trust strongly influences self-disclosure, privacy education is essential to raise awareness. SNS providers need to improve privacy settings for enhanced data control. This study helps understand online privacy behavior and emphasizes the importance of educational and platform-based solutions to enhance user security. JEL classification numbers: D83, L86, M31. Keywords: Trust, Perceive Privacy Risk, Self-Disclosure, Social Networking Sites.

Authors

Publication Details

Published
2025-03-24
DOI
https://doi.org/10.47260/jafb/1516
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Self-Disclosure in Social Networking Sites: The Influence of Trust and Perceived Privacy Risk

Cheng-Wen Lee, Yu-Ting Jhou
1 citations
Privacy, Security, and Data Protection
4.20
article

Understanding Self-Disclosure in Social Networking Sites: The Influence of Trust and Perceived Privacy Risk

Cheng-Wen Lee, Yu-Ting Jhou
article en
1 citations

Abstract

Abstract This study investigates the connection between perceived privacy risk and self-disclosure on social networking sites (SNS) through the lens of Privacy Calculus Theory. While SNS platforms offer social benefits, they also pose privacy risks like data breaches. A survey of users of 162 SNS in Taoyuan City, Taiwan, analyzed trust, privacy risk, and self-disclosure using statistical methods. Findings reveal that trust significantly increases self-disclosure, while perceived privacy risk has little impact. Users may downplay privacy concerns or prioritize social engagement. Trust in SNS providers also does not reduce privacy concerns. Older and more educated users perceive higher privacy risks, but gender, marital status, and occupation show no significant effects. Since trust strongly influences self-disclosure, privacy education is essential to raise awareness. SNS providers need to improve privacy settings for enhanced data control. This study helps understand online privacy behavior and emphasizes the importance of educational and platform-based solutions to enhance user security. JEL classification numbers: D83, L86, M31. Keywords: Trust, Perceive Privacy Risk, Self-Disclosure, Social Networking Sites.

Openalex Percentile: Top 9%
Privacy, Security, and Data Protection
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.