Each day, cable TV news networks determine what information millions of Americans receive and the context in which they receive it. This project will refine research analyzing nearly 10 years of 24/7 news video archived from CNN, FOX and MSNBC, including breakdowns of screen time by gender, individuals and topics, as well as detection of patterns such as interviews. Over the course of the coming year, Hong and Fu will test and release a set of tools to a broader community of journalists, news organizations and the general public to enable interactive exploration of the data on audiovisual and textual dimensions. The goal is to release these tools online in the form of TV news search and analysis widgets, and a video query language for mining high-level spatiotemporal patterns.