I wouldn't go that far, but worth reading - uses Snopes as dataset for identified rumors (not exhaustive but a good source)https://twitter.com/DegenRolf/status/831883217103896576 …
Complex systems, wicked problems. Society, technology, science and more. @UNC professor. @NYTimes columnist. My newsletter is @insight: http://www.theinsight.org
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Brendan Nyhan Retweeted Rolf Degen
I wouldn't go that far, but worth reading - uses Snopes as dataset for identified rumors (not exhaustive but a good source)https://twitter.com/DegenRolf/status/831883217103896576 …
Brendan Nyhan added,
The methodology is so badly understating the issue that I don't know here to begin. First, text analysis won't do.
I know people wish there is an easy way to do this kind of analysis at scale; alas. You can *maybe* establish minimums.
not my paper but i think that's way too categorical. they state the limitations.
Not the key limitation: the rumor analysis is done from text. It won't work, even on Twitter.
but they have a methodology for matching tweets to articles - what does "won't work" means? recall is low but precision is good
Much rumor spreading, especially of the outright fake or misinformation kind, I see is screenshots. Not text.
sure, but does that mean we shouldn't study text? also can see how many tweets w/images & to check for missed imgs in recall stats
Study text by all means--just need to put the caveat right up top that this isn't studying rumor ecology. A small slice of it.
i don't think it's a small slice or means they're not studying rumors, but that's an empirical Q. you should email them!
They are studying rumors; but no way to tell scale/impact just from this. I do read all such studies I find though.
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