Abstract
In the last few years, Online Social Networks (OSN) have experienced growth in the number of users, becoming an increasingly embedded part of people’s daily lives. Privacy expectations of OSNs are higher as more members start realizing potential privacy problems they face by interacting with these systems. Inspection methods can be an effective alternative for addressing privacy problems because they detect possible defects that could be causing the system to behave in an undesirable way. Therefore, we proposed a set of privacy inspection techniques called PIT-OSN (Privacy Inspection Techniques for Online Social Network). This paper presents the description and evolution of PIT-OSN through the results of a preliminary empirical study. We discuss the quantitative and qualitative results and their impact on improving the techniques. Results indicate that our techniques assist non-expert inspectors uncover privacy problems effectively, and are considered easy to use and useful by the study participants. Finally, the qualitative analysis helped us improve some technique steps that might be unclear.
Highlights
The growth of Online Social Networks (OSN) and its different forms of interaction and exploration of relationship dynamics has encouraged the use of good design and evaluation practices to ensure their social acceptability and quality of use [1] [2] [3]
A literature review was performed and we identified the lack of inspection techniques that assess privacy aspects in online social networks context. [11]
It is important that privacy-specific inspection techniques exist because, just like usability, privacy is a holistic property of interactive systems that includes the people who use them. This belief is based on the fact that an entire system can be compromised if there is a poorly implemented privacy component that shares sensitive user information [4] or a discrepant interface in which users cannot understand its privacy elements. From this perspective, reading-based inspection techniques can provide benefits that: (i) support non-specialist professionals learning about privacy inspection; (ii) maintain the quality of use of an online social network interface regarding privacy aspects, and (iii) provide an effective evaluation with emphasis on low cost, speed, and ease of application
Summary
The growth of Online Social Networks (OSN) and its different forms of interaction and exploration of relationship dynamics has encouraged the use of good design and evaluation practices to ensure their social acceptability and quality of use [1] [2] [3]. It is important that privacy-specific inspection techniques exist because, just like usability, privacy is a holistic property of interactive systems that includes the people who use them This belief is based on the fact that an entire system can be compromised if there is a poorly implemented privacy component that shares sensitive user information [4] or a discrepant interface in which users cannot understand its privacy elements. From this perspective, reading-based inspection techniques can provide benefits that: (i) support non-specialist professionals learning about privacy inspection; (ii) maintain the quality of use of an online social network interface regarding privacy aspects, and (iii) provide an effective evaluation with emphasis on low cost, speed, and ease of application. We present conclusions and future perspectives for this research
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
