We keep an eye out for the most interesting stories about Labby subjects: digital media, startups, the web, journalism, strategy, and more. Here’s some of what we’ve seen lately.
“These results suggest that, given readers’ long-term interest in each candidate, and the two assumptions we made above, right now the media should write 53 percent of its articles on Clinton, 25 percent of its articles on Sanders, and 22 percent of its articles on Trump.”
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Tags:
Bayesian Bandit,
bot,
Donald Trump,
Hillary Clinton,
Multi-armed bandit algorithm,
page views,
Thompson Sampling
