Subreddit math with r/The_Donald helps show topic breakdowns

Posted to Statistics  |  Tags: ,  |  Nathan Yau

Trevor Martin for FiveThirtyEight used latent semantic analysis to do math with subreddits, specifically r/The_Donald.

We’ve adapted a technique that’s used in machine learning research — called latent semantic analysis — to characterize 50,323 active subreddits based on 1.4 billion comments posted from Jan. 1, 2015, to Dec. 31, 2016, in a way that allows us to quantify how similar in essence one subreddit is to another. At its heart, the analysis is based on commenter overlap: Two subreddits are deemed more similar if many commenters have posted often to both. This also makes it possible to do what we call “subreddit algebra”: adding one subreddit to another and seeing if the result resembles some third subreddit, or subtracting out a component of one subreddit’s character and seeing what’s left.



This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.

Best Data Visualization Projects of 2016

Here are my favorites for the year.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

The Changing American Diet

See what we ate on an average day, for the past several decades.