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Lessons learned in The Building of Lost Causes
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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
“It grieves me to predict that even the newsrooms who say they want to serve all Americans won’t do any of this. At best, they will mostly continue to ignore the problem. At worst, some journalists will blame the audience.”
“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.”
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