Linguistic Characteristics of Censorable Language on SinaWeibo
Kei Yin Ng
Anna Feldman
Jing Peng
Chris Leberknight
Abstract
This paper investigates censorship from a linguistic perspective. We collect a corpus of censored and uncensored posts on a number of topics, build a classifier that predicts censorship decisions independent of discussion topics. Our investigation reveals that the strongest linguistic indicator of censored content of our corpus is its readability.
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