审查速度：微博删除的高保真检测
The Velocity of Censorship: High-Fidelity Detection of Microblog Post Deletions
摘要：
众所周知，微博和其他中国流行的微博网站都实行内部审查，以遵守中国政府的要求。这项研究试图量化这种审查机制：帖子被删除的速度和范围。我们的分析考虑了2012年大约两个月内收集的238万条帖子，我们的注意力集中在反复访问的“敏感”用户上。这让我们可以在审查事件发生后的几分钟内看到它们，尽管我们的数据不再代表一般微博人群的随机样本。我们还从微博的公开时间轴中抽取了一个更大的4.7亿个帖子样本，时间跨度更长，更具有随机样本的代表性。我们发现，在帖子提交后的第一个小时内，删除的情况最严重。关注原始帖子，而不是转发/转推，我们观察到近30%的删除事件发生在5- 30分钟内。近90%的删除发生在最初的24小时内。利用我们的数据，我们还考虑了关于微博审查机制的各种假设，例如微博审查员使用基于关键字的审查的程度，以及转发/转发流行度如何与审查相互作用。我们还使用了自然语言处理技术来分析哪些主题更有可能被审查。
英文摘要：
Weibo and other popular Chinese microblogging sites are well known for exercising internal censorship, to comply with Chinese government requirements. This research seeks to quantify the mechanisms of this censorship: how fast and how comprehensively posts are deleted.Our analysis considered 2.38 million posts gathered over roughly two months in 2012, with our attention focused on repeatedly visiting "sensitive" users. This gives us a view of censorship events within minutes of their occurrence, albeit at a cost of our data no longer representing a random sample of the general Weibo population. We also have a larger 470 million post sampling from Weibo's public timeline, taken over a longer time period, that is more representative of a random sample. We found that deletions happen most heavily in the first hour after a post has been submitted. Focusing on original posts, not reposts/retweets, we observed that nearly 30% of the total deletion events occur within 5- 30 minutes. Nearly 90% of the deletions happen within the first 24 hours. Leveraging our data, we also considered a variety of hypotheses about the mechanisms used by Weibo for censorship, such as the extent to which Weibo's censors use retrospective keyword-based censorship, and how repost/retweet popularity interacts with censorship. We also used natural language processing techniques to analyze which topics were more likely to be censored.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
