PROCESS AND MECHANISM FOR IDENTIFYING LARGE SCALE MISUSE OF SOCIAL MEDIA NETWORKS

摘要

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.

主权项

1. A method for preparing a dataset of uncommon features, comprising:
retrieving a dataset comprising a plurality of social media messages stored in a memory, wherein the plurality of social media messages are authored by a plurality of users of one or more social media services; extracting, using a processor, a plurality of features from the plurality of social media messages, wherein each of the extracted features is associated with a user that authored a social media message comprising the extracted feature; and determining that the extracted features are uncommon features when a count for each of the extracted features exceeds a first threshold and is less than a second threshold.