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This invention describes a way to calculate how much you can trust someone on a social media platform. It gathers various pieces of information about a user, assigns importance (weights) to each piece, and then combines them to create an overall trust score. Based on this score, the system can then assign a trust level, like 'most trusted' or 'least trusted,' and even recommend friends to you.
Why it matters: Filed before the widespread adoption of advanced AI and machine learning, which can now dynamically assign weights and process vast social graph data for more accurate trust scores. The increased need for combating misinformation and verifying online identity also makes such a system more critical for platform integrity today.
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