Artificial intelligence can help hackers identify people behind anonymous social media accounts by analyzing publicly available data. Researchers demonstrated that modern large language models (LLMs)—similar to those used in many AI chatbots—can link posts across different platforms and identify patterns that reveal a user’s identity.
The AI system works by scanning posts for personal experiences, writing style, interests, and small biographical details. When the AI finds matching clues across platforms—such as similar stories, locations, or unique phrases—it can connect multiple accounts to the same individual. This makes it possible to uncover identities even when users try to stay anonymous online.
Experts warn that this capability could be misused for targeted scams, surveillance, or harassment. For example, hackers could identify victims for highly personalized phishing attacks, known as spear-phishing, by collecting detailed information from their social media activity. Because these AI tools are widely available and inexpensive, the barrier for conducting such attacks is much lower than before.
However, researchers say the technology is not perfect and still depends on users sharing consistent information across platforms. To reduce risks, experts suggest limiting personal details online, improving platform protections against automated data scraping, and developing stronger privacy safeguards for social media users. The study highlights how advances in AI are forcing a rethink of traditional assumptions about online anonymity and digital privacy.
