Stanford Launches AI-powered TV News Analyzer - Liwaiwai

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Cable TV news is a primary source of information for millions of Americans each day. The people that appear on cable TV news and the topics they talk about shape public opinion and culture. While many newsrooms and monitoring organizations routinely audit the content of news broadcasts, these efforts typically involve manually counting who and what is on the air. But now researchers at the Brown Institute for Media Innovation at Stanford University have launched the Stanford Cable TV News Analyzer, an interactive tool that gives the public the ability to not only search transcripts but also compute the screen time of public figures in nearly 24/7 TV news broadcasts from CNN, Fox News and MSNBC dating back to January 2010. The site is updated daily with the previous day's coverage, and enables searches of over 270,000 hours of news footage. The Analyzer increases transparency around these broadcasters' editorial decisions by using modern AI techniques to automatically measure who is on the news and what they talk about.

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