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Last week there was a WP hack who claimed the media was too soft on Trump and too hard on Biden. Well Nate Silver flipped out. Said that was nothing but trash. The methodology used was way off.
This from the Washington Post.
In the piece published last week, liberal columnist Dana Milbank complained about Biden’s media coverage being overly tough and implored journalists to do “soul-searching” and “think about what it is we’re delivering to people.”
In a series of tweets, Silver argued the piece’s “sentiment analysis” measuring the positivity and negativity of particular articles written about Trump and Biden was “complete crap,” and gave examples to show how the data could be skewed more positively or negatively than it should have been.
What's probably happening here is that words like "high" and "rise" are viewed as favorable by the algorithm, even if they're taken completely out of context (e.g. "higher taxes" or "stock futures rise"). 3/
— Nate Silver (@NateSilver538) December 6, 2021
These are the articles the algorithm found, out of more than 40K stories, were the most favorable toward Biden. It's just totally random. Lots of stories about the stock market. Many have nothing to do with Biden at all ("Haiti President Assassinated At Home, Wife Wounded"). 2/ pic.twitter.com/ubKvmvaMHi
— Nate Silver (@NateSilver538) December 6, 2021
To this good thread explaining why the "sentiment analysis" cited in the @milbank WaPo article this weekend is complete crap—the analysis was used to make the claim that the press is just negative toward Biden as Trump—I'll also add a couple of comments based on their data. 1/ https://t.co/V8pPJoM13p
— Nate Silver (@NateSilver538) December 6, 2021

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