Linguistic Characteristics of Censorable Language on SinaWeibo
Kei Yin Ng, Anna Feldman, Jing Peng, Chris Leberknight · arXiv (Cornell University) · 2018
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.