Al Malwi, W. A. A., Renaud, K. and Mackenzie, L. (2021) Users’ information disclosure determinants in social networking sites: a systematic literature review. International Journal of Computer and Information Engineering, 15(5), pp. 314-321.
![]() |
Text
242536.pdf - Published Version Available under License Creative Commons Attribution. 397kB |
Publisher's URL: https://publications.waset.org/10012037/pdf
Abstract
The privacy paradox describes a phenomenon whereby there is no connection between stated privacy concerns and privacy behaviours. We need to understand the underlying reasons for this paradox if we are to help users to preserve their privacy more effectively. In particular, the Social Networking System (SNS) domain offers a rich area of investigation due to the risks of unwise information disclosure decisions. Our study thus aims to untangle the complicated nature and underlying mechanisms of online privacy-related decisions in SNSs. In this paper, we report on the findings of a Systematic Literature Review (SLR) that revealed a number of factors that are likely to influence online privacy decisions. Our deductive analysis approach was informed by Communicative Privacy Management (CPM) theory. We uncovered a lack of clarity around privacy attitudes and their link to behaviours, which makes it challenging to design privacy-protecting SNS platforms and to craft legislation to ensure that users’ privacy is preserved.
Item Type: | Articles |
---|---|
Additional Information: | Conference paper presented at ICPIT 2021 23rd International Conference on Privacy and Information Technology, 24-25 May 2021, Montreal, Canada. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Mackenzie, Dr Lewis and Al Malwi, Wajdan Abdullah A and Renaud, Professor Karen |
Authors: | Al Malwi, W. A. A., Renaud, K., and Mackenzie, L. |
College/School: | College of Science and Engineering > School of Computing Science |
Journal Name: | International Journal of Computer and Information Engineering |
Publisher: | World Academy of Science, Engineering and Technology |
ISSN: | 1307-6892 |
ISSN (Online): | 1307-6892 |
Published Online: | 25 May 2021 |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record