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Creators/Authors contains: "Ng Yin Kei"

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  1. ; ; (, Proceedings of the 10th Hellenic Conference on Artificial Intelligence)
    This study provides preliminary insights into the linguistic features that contribute to Internet censorship in mainland China. We collected a corpus of 344 censored and uncensored microblog posts thatwere published onSinaWeibo and built a Naive Bayes classifier based on the linguistic, topic-independent, features. The classifier achieves a 79.34%accuracy in predicting whether a blog post would be censored on Sina Weibo. 
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    Accepted Manuscript Full Text Available