Linguistic Characteristics of Censorable Language on SinaWeibo

07/10/2018

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by   Kei Yin Ng, et al.

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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.