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Articles by Jonathan Stray

Jonathan Stray is a senior scientist at the Center for Human-compatible AI at UC Berkeley, where he studies how algorithmic media drives political conflict. Previously he was an editor at the Associated Press and taught computational journalism at Columbia University.
@jonathanstray
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“For a long time, ‘objectivity’ packaged together many important ideas about truth and trust. American journalism has disowned that brand without offering a replacement.”
“When reporters find a suspect algorithm, they should also try to cover what could be done better.”
“Conservative audiences deserve no less, even if they never read the Times again.”
“My sense is that what we have here is a feedback loop. Does media attention increase a candidate’s standing in the polls? Yes. Does a candidate’s standing in the polls increase media attention? Also yes.”
“Imagine all the wildly different services you could deliver with a building full of writers and developers.”
“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.”
Assumptions about government openness vary from country to country. Here are a few lessons a cross-national perspective can bring to the open data movement.
Nate Silver’s number-crunching blog is perceived as a threat by some traditional political reporters — but its model has lessons for all journalists.
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.
We need to get beyond counting pageviews and ad impressions and build better ways of judging how our work changes the world around us.