Determining Causality between Online and Offline Behavior

Causal inference is a mathematical approach that enables the ability to understand how malign information operations online effectively seed and/or produce offline movements amongst a target population. This capability can tie explicit factors of an influence campaign to why a target population takes a certain side or more importantly, an offline action - e.g. starts a riot, ensures in person voting, etc. Understanding what drives populations behavior can enhance overall situational awareness of public social media data, enable more efficient decision-making, and foster  earlier (potential) intervention by the Air Force.  Graphika leverages the power of machine learning to create the world’s highest resolution maps of online landscapes. This platform discovers how communities form and maps how influence and information flow in real time within large-scale networks.