title: Political science. Reverse-engineering censorship in China: randomized experimentation and participant observation.
abstract: Existing research on the extensive Chinese censorship organization uses observational methods with well-known limitations. We conducted the first large-scale experimental study of censorship by creating accounts on numerous social media sites, randomly submitting different texts, and observing from a worldwide network of computers which texts were censored and which were not. We also supplemented interviews with confidential sources by creating our own social media site, contracting with Chinese firms to install the same censoring technologies as existing sites, and--with their software, documentation, and even customer support--reverse-engineering how it all works. Our results offer rigorous support for the recent hypothesis that criticisms of the state, its leaders, and their policies are published, whereas posts about real-world events with collective action potential are censored.
authors.affiliation: Institute for Quantitative Social Science, Harvard University, Cambridge, MA 02138, USA. king@harvard.edu.
authors.forename: Gary
authors.initials: G
authors.lastname: King
authors.affiliation: Institute for Quantitative Social Science, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Pan
authors.affiliation: Department of Political Science, University of California, San Diego, La Jolla, CA 92093, USA.
authors.forename: Margaret E
authors.initials: ME
authors.lastname: Roberts
mesh_terms: D006801:Humans; D057218:Blogging / Q000331:legislation & jurisprudence; D002681:China; D003142:Communication; D003441:Crowding; D033161:Government Regulation; D061108:Social Media / Q000331:legislation & jurisprudence