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.
Integration with user scripts
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Популярность красной икры в России объяснили08:48
本条第一款所称保险价值,以各保险合同中最高的保险价值为准;受损价值是指按照各保险合同中最高的保险价值为标准计算所得的受损额。。关于这个话题,体育直播提供了深入分析
Екатерина Улитина (Редактор отдела «Забота о себе»)
becomes increasingly painful to make them. You start thinking “can I,推荐阅读谷歌浏览器下载获取更多信息