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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2017-05-17
    Description: 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 Second, these mechanisms single out withdrawn tweets or accounts, attracting undesirable attention to them.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.
    Print ISSN: 1089-7801
    Electronic ISSN: 1941-0131
    Topics: Electrical Engineering, Measurement and Control Technology , Computer Science
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