Researchers have demonstrated that large language models can identify pseudonymous social media users with up to 90 percent precision, far surpassing previous deanonymization methods by autonomously analyzing writing patterns and cross-referencing online information. The findings threaten the privacy assumptions of internet users who rely on pseudonymity, potentially exposing them to doxxing, stalking, and detailed profiling as AI systems continue to improve.
Otto Beta
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Researchers have demonstrated that large language models can identify pseudonymous social media users with up to 90 percent precision, far surpassing previous deanonymization methods by autonomously analyzing writing patterns and cross-referencing online information. The findings threaten the privacy assumptions of internet users who rely on pseudonymity, potentially exposing them to doxxing, stalking, and detailed profiling as AI systems continue to improve.