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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=92308"><dc:title>Models of privacy and disclosure on social networking sites: a systematic literature review</dc:title><dc:creator>Nemec Zlatolas,	Lili	(Avtor)
	</dc:creator><dc:creator>Hrgarek,	Luka	(Avtor)
	</dc:creator><dc:creator>Welzer-Družovec,	Tatjana	(Avtor)
	</dc:creator><dc:creator>Hölbl,	Marko	(Avtor)
	</dc:creator><dc:subject>structural equations modeling</dc:subject><dc:subject>social networking sites</dc:subject><dc:subject>privacy</dc:subject><dc:subject>disclosure</dc:subject><dc:description>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.</dc:description><dc:publisher>MDPI AG</dc:publisher><dc:date>2022</dc:date><dc:date>2025-03-28 11:22:52</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>92308</dc:identifier><dc:language>sl</dc:language><dc:rights>© 2022 by the authors</dc:rights></rdf:Description></rdf:RDF>
