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Finding BS and Other Semantics Analysis in the 2020 Election, with Danielle Deibler
In Wedged, we talk about BS and bias in media coverage of elections. We’ve always wondered: Can we measure it?
Turns out, someone can. Danielle Deibler is the CEO/founder of Marvelous.ai: she’s where AI and politics meet. In this episode, Danielle walks us through how we can measure BS, bias, and other sentiment in media coverage, with the 2020 election as a case study. We learned a ton and you will, too.
There Has Always Been Fake News–And We Can Learn From That
What better way to discredit something than to call it “fake news?” What better way to subtly deride your political opposition by bemoaning the “post-truth world” that we now live in?
It seems difficult to argue against the idea that fake news plays a larger role in our society today than it did 10 or 20 years ago. But there’s a risk to thinking that we are in some unique moment in history, or having false nostalgia for some time back in the day when everything was trustworthy and you didn’t have to be a discerning reader.
The good news: fake news may come in historical cycles that ebb and flow. That’s also the bad news.
How to Combat the “Fake News” War
rump is a big fan of calling various news networks “fake news,” especially when they report something about him he doesn’t like, such as poll numbers. Having a president so antagonistic against the media is certainly new in American politics, even though yellow journalism has been a thing for years, and Republicans coined the term “liberal media” years ago.
What can be done about it?
Grasping at the Fake News Straw–and Why it Matters
So Fake news is fake news.
By which I mean, “fake news” is fake news. Not that there’s no fake news. But it’s not really much in the way of news. Or it shouldn’t be.