Graph databases and machine learning are being used to fight the spread of fake news by analyzing divergent data patterns. A two-part video series explores how a graph-based solution can aid human fact checkers in increasing the speed, efficiency and scalability of fake news detection. The News Graph is designed to separate fact from fiction, providing advantages over traditional solutions like NBC News' use of Neo4j to analyze Russian Troll Network data. By analyzing large datasets, researchers aim to make sense of the digital social landscape and prevent future fake news abuse.