Far-right populists much more likely than the left to spread fake news – study
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I scanned the study and couldn't figure out what a negative factual score means, it only talks about factuality being rated from 0 to 1.
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*patpat*
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Cool....coolcoolcool....so, now put your time and effort into REPORTING WHAT WE DONT ALL ALREADY KNOW, FFS.
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The research draws on every tweet posted between 2017 and 2022 by every member of parliament with a Twitter (now X) account in 26 countries: 17 EU members including Austria, France, Germany, the Netherlands and Sweden, but also the UK, US and Australia.
So the actual result of this study could be that there are more far-right populists in Twitter. A highly improbable conclusion, I know.
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So the title should say that right wing and centrist sources are less factual than left wing ones.
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That's not how science & research works.
We test the things we think we know and publish our findings.
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"More likely" would imply frequency of false information to overall tweets. Which would be split by political leaning already. The numbers of each side wouldn't matter much in that case
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Well this has been previously tested.
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Figure 1. Association between factuality score adjusted by country mean, parties’ left-right ideology (right), and populism (middle), and government participation (left) with 95% confidence intervals.
I think this means that the y axis represents the deviation from the mean score, not the actual 'factuality score'.
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Not really, you take all those politicians, divide them in categories (left, center, right, populist or not) and check the % of lies per tweets for each category.
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I'm not sure whether that difference is statistically significant though since there are only a couple of left sources included.
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BREAKING: Liberal media is closer to mean.
--Fox News
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What's the fit?
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Fake news spread includes "both sides are the same"
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"Study finds that water is wet."
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So far right populists, against far left populusts? No, against "left".
I bet far right populists lie more than any non-populists.
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Is this 2016?
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Ah! In my scanning I missed the "adjusted by country mean" but yeah, you're totally correct.
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We already lost what we call information
