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Investigating OSN users' privacy strategies with in-situ observation

: Poller, A.; Ilyes, P.; Kramm, A.; Kocksch, L.


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-:
17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014. Proceedings : Baltimore, MD, February 15-19, 2014
New York: ACM, 2014
ISBN: 978-1-4503-2541-7
Conference on Computer Supported Cooperative Work and Social Computing (CSCW) <17, 2014, Baltimore/Md.>
Conference Paper
Fraunhofer SIT ()

Studies of interactional privacy in online social networks (OSN) showed that users' privacy strategies not only rely on technical privacy controls provided by the software but also on complex workarounds like selfcensorship or information obfuscation. However, it is difficult to observe users' complex behavior and practices in these digital environments. For practical reasons, researchers have to rely mainly on selfreporting techniques with all their shortcomings. We propose combining qualitative interviews and a privacyfriendly tracking software to capture users' actions in OSN. We provide first results on how collected tracking data in combination with individualized interviews allow deeper insights into user practices, can prevent problems of self-reporting, and may eventually support software design.