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- W1833031333 abstract "We present measurements and analysis of censorship on Weibo, a popular microblogging site in China. Since we were limited in the rate at which we could download posts, we identified users likely to participate in sensitive topics and recursively followed their social contacts. We also leveraged new natural language processing techniques to pick out trending topics despite the use of neologisms, named entities, and informal language usage in Chinese social media. We found that Weibo dynamically adapts to the changing interests of its users through multiple layers of filtering. The filtering includes both retroactively searching posts by keyword or repost links to delete them, and rejecting posts as they are posted. The trend of sensitive topics is short-lived, suggesting that the censorship is effective in stopping the viral spread of sensitive issues. We also give evidence that sensitive topics in Weibo only scarcely propagate beyond a core of sensitive posters." @default.
- W1833031333 created "2016-06-24" @default.
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- W1833031333 date "2012-11-26" @default.
- W1833031333 modified "2023-09-27" @default.
- W1833031333 title "Tracking and Quantifying Censorship on a Chinese Microblogging Site" @default.
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