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submitted 2 years ago* (last edited 2 years ago) by Five@slrpnk.net to c/science@slrpnk.net

Among those who shared any political content on Twitter during the election, fewer than 5% of people on the left or in the center ever shared any fake news content, yet 11 and 21% of people on the right and extreme right did

Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019). Fake news on Twitter during the 2016 U.S. presidential election. Science, 363(6425), 374–378. doi:10.1126/science.aau2706

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[-] grue@lemmy.world 2 points 2 years ago

If you mistake the X-axis as a linear scale, the result makes the effect less pronounced, not more.

Exactly, and that's the problem! When the chart makes it look like the right "only" shares maybe twice as much fake news when it's actually 10x-100x more, it makes the right look way less bad than it actually is.

[-] fogstormberry@lemmy.blahaj.zone 5 points 2 years ago

there's also superconsumer and supersharer on the "political right" side of the chart causing a visual bias

[-] grue@lemmy.world 2 points 2 years ago

I'm less upset about those, but I agree that it would be nice to have a vertical gap between them and the ideological clusters above to make it clearer that they're orthogonal categories of grouping.

this post was submitted on 24 Jun 2024
109 points (92.9% liked)

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