| I do disagree with the lazy "Buzzfeed is left wing therefore your result are automatically invalid" conclusion of the poster. :) But I do believe that bias could be a genuine concern here. Both the Buzzfeed article and the Stanford article (https://web.stanford.edu/~gentzkow/research/fakenews.pdf) seems to focus strictly on political fake news. But Donald Trump fake news is not the only fake news out there. Given that Donald Trump supporter demographics lean older, I am wondering if an exclusive focus on political fake news (most of which was indeed leaning in the Donald Trump direction) is skewing the results towards the conclusion that people older than 65 share the most fake news. Would the study look differently if they included sites propagating non-political fake news -- such as celebrity oriented fake news or health woo? In another case -- Russian disinformation campaigns -- it's well known that they targeted pretty much all sides with divisive Facebook ads on contentious issues or identity politics. Some of the ads certainly are in the "fake news" category (https://www.washingtonpost.com/graphics/2017/business/russia...). The question I would have is whether the same demographics would apply to identity or issues related fake news. I'm not certain here. It's possible that one can include the above data points and still draw the conclusion; in a tangentially related case, age is one of the factors in other forms of susceptibility to fraud (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916958/), so it's possible that age is a factor in not recognizing fake news as easily. But until then, while the article does make a good case that people older than 65 share the most fake pro-Donald Trump news, I'm not sure I can apply that conclusion to other forms of fake news yet. |
i also would like to see a more comprehensive study (esp. including scientific issues, which should actually be easier to measure and less contentious).