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In a separate development, Elon Musk announced that X’s recommendation algorithm will become open source, aiming to enhance transparency following a recent EU fine. This decision has sparked discussions on the potential privacy implications of revealing how user timelines are organized. An OSINT researcher known as @Harrris0n shared findings that suggest the open-source code could expose anonymous accounts through detailed tracking of user behavior.
The “User Action Sequence” feature within X’s repository encodes extensive behavioral data, including the timing of user interactions and preferences. This information not only aids in predicting engagement but also creates a unique behavioral fingerprint that could compromise anonymity for users operating multiple accounts.