The Potential for User-Tailored Privacy on Facebook
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Research shows that Facebook users differ
extensively in their use of various privacy features, and that
they generally find it difficult to translate their desired privacy
preferences into concrete interface actions. Our work explores
the use of User-Tailored Privacy (UTP) to adapt Facebook’s
privacy features to the user’s personal preferences. We
developed adaptive versions of 19 Facebook privacy features,
and for each feature we test three adaptation methods
(Automation, Highlight and Suggestion) that can be used to
implement the adaptive behavior. In a “think-aloud” semistructured
interview study (N=18), we show participants paper
prototypes of our adaptive privacy features and ask
participants to judge the presented adaptive capabilities and
the three adaptation methods that implement them. Our
findings provide insights into the viability of User-Tailored
Privacy. Specifically, we find that the optimal adaptation
method depends on the users’ familiarity with the privacy
feature and how they use them, and their judgment of the
awkwardness and irreversibility of the implemented privacy
functionality. We conclude with design recommendations for
the implementation of User-Tailored Privacy on Facebook and
other social network platforms.
Description
Keywords
Privacy, Social media, Facebook, User-tailored privacy, Privacy on social media
Citation
Namara, M., Sloan, H., Jaiswal, P., & Knijnenburg, B. P. (2018, September). The potential for user-tailored privacy on Facebook. In 2018 IEEE Symposium on Privacy-Aware Computing (PAC) (pp. 31 -42). IEEE. DOI 10.1109/PAC.2018.00010