Models of privacy and disclosure on social networking sites: a systematic literature review

Lili Nemec (Author), Luka Hrgarek (Author), Tatjana Welzer-Družovec (Author), Marko Hölbl (Author)

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

modeliranje;socialna omrežja;zasebnost;structural equations modeling;social networking sites;privacy;disclosure;

Data

Language:	English
Year of publishing:	2022
Typology:	1.01 - Original Scientific Article
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	MDPI AG
UDC:	004.5:316.77
COBISS:	92238083
ISSN:	2227-7390
Views:	0
Downloads:	2
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Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	modeliranje;socialna omrežja;zasebnost;
Type (COBISS):	Article
Pages:	37 str.
Volume:	ǂVol. ǂ10
Issue:	ǂno. ǂ1
Chronology:	2022
DOI:	10.3390/math10010146
ID:	26125332