Gender Differentials on Information Sharing and Privacy Concerns on Social Networking Sites

Abstract

This paper undertakes to explore the perceptions of academics regarding information sharing on social network sites (SNS) and related privacy issues. Specifically, the paper was designed targeting academics using SNS to disseminate information and/or for other academic purposes. The paper is based on a mixed method research, the exploratory stage consequential for the confirmatory stage of the research. The findings of the research highly the complex relationships between personal information collection and usage (PICU) factors, personal information control (PIC) factors, and awareness of the effectiveness of privacy policy (AEPP) factors. This culminates in the formulation of a research model based on the theory of reasoned action. Given that the research took place within a context where gender is significant in shaping the worldview of the individual, groups, and society, the paper also seeks to contribute to the existing gender-based narrative on information sharing and privacy issues on SNS, mainly demystifying gender-based stereotypes.

Benefits of Open Government Data Initiatives in Saudi Arabia and Barriers to Their Implementation

“…Perhaps a little surprisingly, difficulties in accessing usable data and the issue of data privacy were considered less important. It is worth noting that these findings on privacy contradict those of Altayar (2018) and Mutambik et al (2021), discussed earlier in this paper, which allows us to assume that there have been positive changes in this respect in recent years. However, it is possible that the nature of the sample could also be a reason for the discrepancy, as only scholars were approached in the study under consideration.…”

“…OGD also poses ethical and legal challenges for organizations that need to develop and implement practical frameworks for determining whether a particular dataset can be released into the public domain (Zuiderwijk et al, 2012). Such frameworks are critical for the identification and protection of sensitive data, to ensure compliance with the privacy regulations that exist in many countries (Choenni et al, 2010;Mutambik et al, 2021;Xu et al, 2022). One obvious issue, for example, is the risk of disclosure of personal identities if different datasets are combined (Choenni et al, 2010;Kalidien et al, 2014).…”

The Growth of Social Commerce: How It Is Affected by Users’ Privacy Concerns

“…Another privacy-related factor that affects consumers' willingness to engage with SMPs is the extent and depth of their awareness of service providers' privacy policies [30,31].…”

When Job Candidates Experience Social Media Privacy Violations

“…Researchers have found individual factors are important elements in predicting individuals' intentions and behaviors with respect to privacy, such as gender (Chakraborty, Vishnik, & Rao, 2013;Mutambik, et. al., 2021;Sweeney, Arnold, & Pierce, 2010), age (Krambia-Kapardis & Zopiatis, 2008), education level (Eweje & Brunton, 2010), and personality traits (Bansal, Zahedi, & Gefen, 2010, 2016Korzaan & Boswell, 2008).…”