The Velocity of Censorship: High-Fidelity Detection of Microblog Post Deletions Tao Zhu, Independent Researcher; David Phipps, Bowdoin College; Adam Pridgen, Rice University; Jedidiah R. Crandall, University of New Mexico; Dan S. Wallach, Rice University This paper is included in the Proceedings of the 22nd USENIX Security Symposium. August 14–16, 2013 • Washington, D.C., USA ISBN 978-1-931971-03-4 Open access to the Proceedings of the 22nd USENIX Security Symposium is sponsored by USENIX The Velocity of Censorship: High-Fidelity Detection of Microblog Post Deletions Tao Zhu David Phipps Adam Pridgen
[email protected] Computer Science Computer Science Independent Researcher Bowdoin College Rice University Jedidiah R. Crandall Dan S. Wallach Computer Science Computer Science University of New Mexico Rice University Abstract terconnected through their social graph and tend to post about sensitive topics. This biases us towards the content Weibo and other popular Chinese microblogging sites are posted by these particular users, but enables us to mea- well known for exercising internal censorship, to comply sure with high fidelity the speed of the censorship and with Chinese government requirements. This research discern interesting patterns in censor behaviors. seeks to quantify the mechanisms of this censorship: Sina Weibo (weibo.com, referred to in this paper sim- how fast and how comprehensively posts are deleted. ply as “Weibo”) has the most active user community of Our analysis considered 2.38 million posts gathered over any microblog site in China [39]. Weibo provides ser- roughly two months in 2012, with our attention focused vices which are similar to Twitter, with @usernames, on repeatedly visiting “sensitive” users.