Models of Privacy and Disclosure on Social Networking Sites: A Systematic Literature Review

Lili Nemec Zlatolas, Luka Hrgarek, Tatjana Welzer and Marko Hölbl
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Lili Nemec Zlatolas: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroska 46, 2000 Maribor, Slovenia
Luka Hrgarek: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroska 46, 2000 Maribor, Slovenia
Tatjana Welzer: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroska 46, 2000 Maribor, Slovenia
Marko Hölbl: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroska 46, 2000 Maribor, Slovenia

Mathematics, 2022, vol. 10, issue 1, 1-37

Abstract: Social networking sites (SNSs) are used widely, raising new issues in terms of privacy and disclosure. Although users are often concerned about their privacy, they often publish information on social networking sites willingly. Due to the growing number of users of social networking sites, substantial research has been conducted in recent years. In this paper, we conducted a systematic review of papers that included structural equations models (SEM), or other statistical models with privacy and disclosure constructs. A total of 98 such papers were found and included in the analysis. In this paper, we evaluated the presentation of results of the models containing privacy and disclosure constructs. We carried out an analysis of which background theories are used in such studies and have also found that the studies have not been carried out worldwide. Extending the research to other countries could help with better user awareness of the privacy and self-disclosure of users on SNSs.

Keywords: structural equations modeling; social networking sites; privacy; disclosure (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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