This suburban St. Louis district hosted one of the closest presidential contests we've ever seen

Joe Biden at the 2019 Iowa Federation of Labor Convention, hosted by the AFL-CIO at the Prairie Meadows Hotel in Altoona, Iowa, Gage Skidmore

Our project to calculate the 2020 presidential results for all 435 House seats nationwide tours Missouri, which was home to what will almost certainly be the closest district-level presidential outcome in the nation. You can find our detailed calculations here, a large-size map of the results here, and our permanent, bookmarkable link for all 435 districts here.

The site of that election was Missouri's 2nd District in the St. Louis suburbs, which Donald Trump won 49.18-49.16―a margin of just 115 votes. This represented a giant crash for Trump from his 53-42 performance in 2016, but it still wasn't enough for Democrats looking to unseat Republican Rep. Ann Wagner. Like a number of Republican House candidates running in ancestrally red suburban seats, Wagner ran well ahead of the top of the ticket and defeated Democrat Jill Schupp 52-46.

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Imagine you've forgotten once again the difference between a gorilla and a chimpanzee, so you do a quick Google image search of “gorilla." But instead of finding images of adorable animals, photos of a Black couple pop up.

Is this just a glitch in the algorithm? Or, is Google an ad company, not an information company, that's replicating the discrimination of the world it operates in? How can this discrimination be addressed and who is accountable for it?

“These platforms are encoded with racism," says UCLA professor and best-selling author of Algorithms of Oppression, Dr. Safiya Noble. “The logic is racist and sexist because it would allow for these kinds of false, misleading, kinds of results to come to the fore…There are unfortunately thousands of examples now of harm that comes from algorithmic discrimination."

On At Liberty this week, Dr. Noble joined us to discuss what she calls “algorithmic oppression," and what needs to be done to end this kind of bias and dismantle systemic racism in software, predictive analytics, search platforms, surveillance systems, and other technologies.

What you can do:
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