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Articles by Jonathan Stray

Jonathan Stray leads the Overview Project for the Associated Press, a Knight News Challenge-funded visualization system to help investigative journalists make sense of very large document sets, and teaches computational journalism at Columbia University. Formerly he was an interactive editor at the Associated Press, a freelance reporter in Hong Kong, and a senior computer scientist at Adobe Systems. He has contributed stories to The New York Times, Foreign Policy, Wired and China Daily. He has an MSc in computer science from the University of Toronto and an MA in journalism from the University of Hong Kong.
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1960S ART
“Investigative journalism may have pride of place within the mythology of American news, but that’s not really what journalists have been up to, by and large.”
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The Salt Lake City company is breaking out of the newspaper mold by building online-only products that aim at an audience beyond Utah’s borders.
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We need to get beyond counting pageviews and ad impressions and build better ways of judging how our work changes the world around us.
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There’s too much news for anyone to consume. Three key words should determine who gets served what: Interest, effects, and agency.
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Algorithms can help, but more fundamentally, we need to figure out what we want a diverse pool of information to look like.
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Does the quest for balance in news stories open journalists up to claims of bias? It’s all about the framing.
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Technologists and humanists take different approaches — and speak different languages.
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How we report on everything from murders to burglaries is tied to pre-Internet realities, Jonathan Stray argues. What would a digital-native crime report look like?
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