Large language models (LLMs) can accurately unmask pseudonymous users on social media platforms, thereby undermining the privacy afforded by pseudonymity. Researchers found that LLMs can achieve high recall and precision rates in identifying users based on their online activity, posing risks of doxxing, stalking, and targeted advertising. The study highlights the need for stronger privacy protections and suggests mitigations, such as rate limits on data access and monitoring for LLM misuse.
LLMs Can Unmask Pseudonymous Users at Scale With Surprising Accuracy
