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Abstract

The described systems and methods compare behavior between multiple users of social media services to determine coordinated activity. An index is created and used to extract uncommon features from social media messages. A collision between users is detected when their messages have the same uncommon feature. A number and/or frequency of collisions may indicate a probability that users are engaged in coordinated activity. A comparison of user accounts with multiple collisions may be executed to identify similar content as coordinated activity. A visualization tool constructs a network graph that shows relationships between users in social networks, and can be used to discover coordinated users engaged in misuse of social media.

First Claim