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Issue No. 03 - May-June (2017 vol. 21)
ISSN: 1089-7801
pp: 48-55
Mainack Mondal , Max Planck Institute for Software Systems
Johnnatan Messias , Max Planck Institute for Software Systems
Saptarshi Ghosh , IIT Kharagpur
Krishna P. Gummadi , Max Planck Institute for Software Systems
Aniket Kate , Purdue University
This large-scale measurement study of Twitter focuses on understanding how users control the longitudinal exposure of their publicly shared social data -- that is, their tweets -- and the limitations of currently used control mechanisms. The study finds that, while Twitter users widely employ longitudinal exposure control mechanisms, they face two fundamental problems. First, even when users delete their data or account, the current mechanisms leave significant traces of residual activity. Second, these mechanisms single out withdrawn tweets or accounts, attracting undesirable attention to them. To address both problems, an inactivity-based withdrawal scheme for improved longitudinal exposure control is explored.
Privacy, Twitter, Social network services, Software systems, Facebook, Usability, Internet and web services,Internet/Web technologies, Twitter, usable privacy, longitudinal exposure, tweet deletion, inactivity-based withdrawal, residual activities, security and privacy
Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate, "Longitudinal Privacy Management in Social Media: The Need for Better Controls", IEEE Internet Computing, vol. 21, no. , pp. 48-55, May-June 2017, doi:10.1109/MIC.2017.76
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