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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The key word here is "naturally." AI models have learned to recognize and discount obvious spam, self-promotion, and link-dropping. Simply posting your URL in relevant threads won't help and might actually hurt if it generates negative reactions or gets flagged as spam. Instead, you need to participate genuinely in communities where your expertise is relevant, providing real value in discussions and mentioning your content only when it truly addresses someone's question or adds to the conversation.
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Strict no-logging policy so your data is secure
No evidence has been presented that these safeguards are insufficient to continue to protect Android users as they have for the entire seventeen years of Android’s existence. If Google’s concern is genuinely about security rather than control, it should invest in improving these existing mechanisms rather than creating new bottlenecks and centralizing control.，这一点在heLLoword翻译官方下载中也有详细论述