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The finding, from a recently published research paper, is based on results of experiments correlating specific individuals with accounts or posts across more than one social media platform. The success rate was far greater than existing classical deanonymization work that relied on humans assembling structured data sets suitable for algorithmic matching or manual work by skilled investigators. Recall—that is, how many users were successfully deanonymized—was as high as 68 percent. Precision—meaning the rate of guesses that correctly identify the user—was up to 90 percent.
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“‘最想去北京看天安门’‘我们都是中华民族大家庭的一员’是孩子们口中最真挚的表达。”全国人大代表、学校党总支书记闵晓青说。
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