We’re also working with academics who are using our tools to unlock new insights. For example, Schultz and Jaquith are working with Bryce Dietrich at the University of Iowa to apply the Duplitron, the audiofingerprinting tool that fueled our political ad airing data, to analyze floor speeches of members of Congress. speeches were aired on cable news programs and explores the reasons why those particular clips were selected for airing. A draft of the paper was presented in the 2017 Polinfomatics Workshop in Seattle and will begin review for publication in the coming months.
What’s next? Our plans include making more than a million hours of TV news available to researchers from both private and public institutions via a digital public library branch of the Internet buy sales lead Archive’s TV News Archive. These branches would be housed in computing environments, where networked computers provide the processing power needed to analyze large amounts of data. Researchers will be able to conduct their own experiments using machine learning to extract metadata from TV news. Such metadata could include, for example, speaker identification–a way to identify not just when a speaker appears on a screen, but when she or he is talking. Metadata generated through these experiments would then be used to enrich the TV News Archive, so that any member of the public could do increasingly sophisticated searches.
Going global
We live in an interdependent world, but we often lack understanding about how other cultures perceive us. Collecting global TV could open a new window for journalists and researchers seeking to understand how political and policy messages are reported and spread across the globe. The same tools we’ve developed to track political ads, faces, chyrons, and captions can help us put news coverage from around the globe into perspective.