{"id":183519,"date":"2026-03-03T12:30:24","date_gmt":"2026-03-03T12:30:24","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy\/"},"modified":"2026-03-03T12:30:24","modified_gmt":"2026-03-03T12:30:24","slug":"llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy\/","title":{"rendered":"LLMs can unmask pseudonymous users at scale with surprising accuracy"},"content":{"rendered":"
\n

Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research that has far-reaching consequences for privacy on the Internet, researchers said.<\/p>\n

The finding, from a recently published research paper<\/a>, 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\u2014that is, how many users were successfully deanonymized\u2014was as high as 68 percent. Precision\u2014meaning the rate of guesses that correctly identify the user\u2014was up to 90 percent.<\/p>\n

I know what you posted last year<\/h2>\n

The findings have the potential to upend pseudonymity, an imperfect but often sufficient privacy measure used by many people to post queries and participate in sometimes sensitive public discussions while making it hard for others to positively identify the speakers. The ability to cheaply and quickly identify the people behind such obscured accounts opens them up to doxxing, stalking, and the assembly of detailed marketing profiles that track where speakers live, what they do for a living, and other personal information. This pseudonymity measure no longer holds.<\/p>\n

Read full article<\/a><\/p>\n

Comments<\/a><\/p>\n<\/div>\n

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Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research that has far-reaching consequences for privacy on the Internet, researchers said. 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…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[241],"tags":[],"class_list":["post-183519","post","type-post","status-publish","format-standard","hentry","category-technology"],"yoast_head":"\nLLMs can unmask pseudonymous users at scale with surprising accuracy - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLMs can unmask pseudonymous users at scale with surprising accuracy - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research that has far-reaching consequences for privacy on the Internet, researchers said. 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. 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