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Nice! I've wanted to do something like this for awhile, too, but haven't had the time yet.

What's interesting to me, from a research point of view, is the degree of nuance the network uncovers for the clickbait. We all know that <person> is going to be doing <intriguing action>, but for each person these actions are slightly different. The sentence completions for "Barack Obama Says..." are mainly politics related while "Kim Kardashian Says..." involve Kim commenting on herself.

So it might not really understand what it's saying, but it captures the fact those two people will tend to produce different headlines.

Neat Idea: what if we tried the same thing with headlines from the New York Times (or maybe a basket of newspapers)? We would likely find that the Clickbait RNN's vision of Obama is a lot different from the Newspaper RNN's Obama. Teasing apart the differences would likely give you a lot more insight into how the two readerships view the president than any number polls would.

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