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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"It's a notable signal that they've noticed that this is a big problem," says Mahsa Alimardani, a researcher specialising in Iran at the Oxford Internet Institute.。关于这个话题，体育直播提供了深入分析
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