Purpose

Sharing co-owned information on social network platforms has become a common and inevitable phenomenon. However, due to the uniqueness of co-owned information, the privacy calculus theory based on a single information owner cannot explain co-owned information disclosure. Therefore, this study tries to investigate the underlying mechanism of users’ co-owned information disclosure from a collective privacy calculus perspective.

Design/methodology/approach

Through a survey of 740 participants, covariance-based structural equation modeling (CB-SEM) was used to verify the proposed model and hypotheses.

Findings

The results show that personal benefit, others’ benefit and relationship benefit promote users’ co-owned information disclosure by positively affecting personal distributive fairness and others’ distributive fairness perception. Meanwhile, personal privacy risk and others’ privacy risk prevent users’ co-owned information disclosure by negatively affecting personal distributive fairness and others’ distributive fairness perception. Besides, others’ information ownership perception enhances the positive effect of others’ distributive fairness perception on co-owned information disclosure intention. Furthermore, others’ information ownership strengthens the mediating role of others’ distributive fairness.

Research limitations/implications

The findings of this study enrich the research scope of information disclosure and privacy calculus theory and help social network platform developers design collective privacy protection functions.

Originality/value

This study develops a collective privacy calculus model to understand users’ co-owned information disclosure on social network platforms, confirming the mediating role of collective distributive fairness and the moderating role of others’ information ownership perception in the process of collective privacy calculus.

中文翻译：

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社交网络平台上的共有信息披露与集体隐私演算：信息所有权的调节作用

 目的

在社交网络平台上共享共有信息已成为一种普遍且不可避免的现象。然而，由于共有信息的独特性，基于单一信息所有者的隐私演算理论无法解释共有信息泄露。因此，本研究试图从集体隐私演算的角度探讨用户共有信息泄露的深层机制。

设计/方法论/途径

通过对 740 名参与者的调查，使用基于协方差的结构方程模型 (CB-SEM) 来验证所提出的模型和假设。

 发现

结果表明，个人利益、他人利益和关系利益通过对个人分配公平性和他人分配公平性感知产生正向影响，促进用户共有信息披露。同时，个人隐私风险和他人隐私风险通过对个人分配公平和他人分配公平感知产生负面影响，阻碍用户共有信息的披露。此外，他人信息所有权感知增强了他人分配公平感知对共有信息披露意愿的正向影响。此外，他人的信息所有权强化了他人分配公平的中介作用。

研究局限性/影响

本研究结果丰富了信息披露和隐私演算理论的研究范围，有助于社交网络平台开发者设计集体隐私保护功能。

 原创性/价值

本研究开发了一个集体隐私演算模型来理解用户在社交网络平台上共同拥有的信息披露情况，证实了集体分配公平的中介作用和他人信息所有权感知在集体隐私演算过程中的调节作用。