System and Article of Manufacture to Analyze Twitter Data to Discover Suspicious Users and Malicious Content

The invention comprises a system and article of manufacture to discover potential cyber threats on Twitter. The invention provides a unified framework for modeling and reasoning about the veracity of tweets to discover suspicious users and malicious content. The invention builds on the concept of Markov logic networks (MLNs) for knowledge representation and reasoning under uncertainty.