no code implementations • 23 Jan 2020 • Kei Yin Ng, Anna Feldman, Jing Peng
The crowdsourcing results suggest that while humans tend to see censored blogposts as more controversial and more likely to trigger action in real life than the uncensored counterparts, they in general cannot make a better guess than our model when it comes to `reading the mind' of the censors in deciding whether a blogpost should be censored.
no code implementations • WS 2019 • Kei Yin Ng, Anna Feldman, Jing Peng, Chris Leberknight
According to Freedom House{'}s annual Freedom on the Net report, more than half the world{'}s Internet users now live in a place where the Internet is censored or restricted.
no code implementations • COLING 2018 • Kei Yin Ng, Anna Feldman, Jing Peng, Chris Leberknight
This paper investigates censorship from a linguistic perspective.
