Antecedents of collective privacy management in social network sites: a cross-country analysis

• Published in: CCF transactions on pervasive computing and interaction (Online) Vol. 4; no. 2; pp. 106 - 123
• Main Authors: Li, Yao, Cho, Hichang, Anaraky, Reza Ghaiumy, Knijnenburg, Bart, Kobsa, Alfred
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.06.2022; Springer Nature B.V
• Subjects: Audiences; Behavior; Collaboration; Computer Science; Human-Centered Cooperative Computing; Identity theft; Information control; Personal information; Prediction models; Privacy; Regular Paper; Self-efficacy; Social networks; User Interfaces and Human Computer Interaction; United States > US; South Korea; Singapore; Social norm; Collective privacy management; Social network site; Perceived control belief
• ISSN: 2524-521X; 2524-5228
• DOI: 10.1007/s42486-022-00092-8

In this paper, we examine the psychological antecedents of privacy management strategies in social network sites (SNS) and extend the understanding to collective privacy management. By surveying Facebook users in the US (N = 454), Singapore (N = 467) and South Korea (N = 472), we are able to test our prediction model in these three countries to examine whether the effects of the antecedents are robust from a cross-country perspective. Although some of the effects are significantly different between the three countries, we find that in general users’ privacy attitudes, social norms, and self/collective control beliefs substantially predict the adoption of collective privacy management strategies. These findings contribute to the explanations of users’ adoption of behavioral privacy management strategies. We conclude with global and country-specific recommendations regarding future privacy designs for collective privacy management.