Квартиру из «Реальных пацанов» продадут в российском городе20:42
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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“Policymakers may wish to consider complementary strategies to mitigate potential displacement effects,” the authors wrote, “such as retraining programs or targeted support for small firms” a prescription that, in light of the parallel AI findings, may be arriving in timely fashion.
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