Helen will explore how she uses technology

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For nearly a decade, the Internet Archive’s TV News Archive has enabled closed captioning keyword search of a growing archive that today spans nearly three million hours of U.S. local and national TV news (2,239,000+ individual shows) from mid-2009 to the present. This public interest library is dedicated to facilitating journalists, scholars, and the public to compare, contrast, cite, and borrow specific portions of the collection.

Using a range of algorithmic approaches, users are moving beyond simple captioning search towards rich analysis of the visual side of television news.
In this session, Roger Macdonald, founder of the TV News Archive, and Kalev Leetaru, collaborating data scientist and GDELT Project founder, will report on experiments applying full-screen OCR, machine phone number database vision, speech-to-text and natural language processing to assist exploration, analyses and data-visualization of this vast television repository. They will ​​survey the resulting open metadata datasets and demonstrate the public search tools and APIs they’ve created that enable powerful new forms of interactive search of television news and what it looks like to ask questions of more than a decade of television news.

Catherine Falls
Falls says her background gives her a solid understanding of the basic functions of the library and the common language used within the profession. With that theoretical grounding, she said she can approach her work from a critical perspective to make improvements.