Analyzing social media data to identify markers of coordinated movements, using stance detection, and using clustering techniques

This invention describes a computer system that collects social media posts from various platforms, specifically focusing on text. It then uses artificial intelligence to convert each post into a unique digital signature, or 'embedding,' which captures its meaning. These signatures are then grouped together by a clustering algorithm to find posts with similar content. Finally, the system creates visual representations of these groups for a user to see, helping them understand related discussions. The system also includes a step to reduce the amount of raw social media data before processing.