Privacy-Preserving Social Media Data Publishing

Abstract

User-generated social media data are exploding and also of high demand in public and private sectors. The disclosure of complete and intact social media data exacerbates the threats to user privacy. In this paper, we first identify a text-based user-linkage attack on current social media data publishing practices, in which the real users of anonymous IDs in… (More)

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Cite this paper

@article{Zhang2017PrivacyPreservingSM, title={Privacy-Preserving Social Media Data Publishing}, author={Jinxue Zhang and Jingchao Sun and Rui Zhang and Yanchao Zhang and Xia Hu}, journal={CoRR}, year={2017}, volume={abs/1701.01900} }