Duke Professor/Director of http://PolarizationLab.com & http://SICSS.io , author of "Breaking the Social Media Prism" (http://bit.ly/3dH2izn ) & "Terrified" 
NYT, WaPo, CNN
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YouTube's algorithm is *not* radicalizing people according to a study by leading scholars that examined 29 million YouTube viewing sessions and recently appeared in a prestigious peer reviewed journal: https://www.pnas.org/content/118/32/e2101967118.short …pic.twitter.com/KZhwYerXUt
There is more research/work to be done (especially with experimental designs and on other platforms), but this is the most comprehensive and careful analyses I've yet seen by @homahmrd @aaronclauset @duncanjwatts @markusmobius @DavMicRot and Amir Ghasemian.
And to be clear this does not indicate there are not major issues with extreme content on YouTube (and other platforms)... only that the algorithm does not seem to be the most likely culprit for producing extremism.
As many have argued (e.g. @kmmunger), we need more research on the supply side of extremism... and, I'd add, more careful theories of how our attempts to gain status interact with the technical affordances of our platforms and the information ecosystem more broadly.
And, more broadly, perhaps we all need a lot more humility vis-a-vis this complex, multifaceted issue. We are still very early in our understanding of how extremism evolves on social media, and there may not be many simple answers.
And to be clear I don't think this means that platforms could not do more to prevent/discourage extremism either; we all need to get more creative about how we think about the bigger picture and ask how the fundamental design features of social media engender different behavior.
Question: Was this study done before or after YouTube began modifying its algorithm in response to concerns it was radicalizing people?
This study dates back to 2016-- most of the public arguments about the role of the algorithm in producing radicalization began in 2018, if I'm not mistaken, after several prominent articles in the New York Times
You got my hopes up high! That independent researchers have gotten access to recommendation data! Alas, they have none. But look what they do show—besides invoking the usual "is it the platform or is it the user" false dichotomy that has zero basis from any scholar that I know.pic.twitter.com/D7gdvrt5pk
The field refuses to concede we need: actual data from You Tube and/or a solid longitudinal panel with a qualitative component to even get at the question. Likely both. (Also, come on, who has ever claimed that it's only the algorithm/platform design and users are irrelevant?)
Humans, in fact, have agency
Exactly! Or at least perhaps more agency than many observers of this issue give them?
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