Reading @thosjleeper https://thewpsa.wordpress.com/2015/05/09/what-can-we-learn-from-10-1-million-facebook-users-its-complicated/ … & wondered: Can Facebook a ID a user’s ideology by their social network?pic.twitter.com/F19AGvjC6j
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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Reading @thosjleeper https://thewpsa.wordpress.com/2015/05/09/what-can-we-learn-from-10-1-million-facebook-users-its-complicated/ … & wondered: Can Facebook a ID a user’s ideology by their social network?pic.twitter.com/F19AGvjC6j
@digiphile @thosjleeper Facebook already imputes political ideology, go to "why you see ads" tab. Also, interesting: http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9586211&fileId=S0003055414000525 …
@zeynep @thosjleeper If so, could Facebook's data team do so & run the same code & get results that are representational of entire network?
@digiphile @zeynep @thosjleeper Problem is imputation is causally downstream from newsfeed exposure. What I see could change my mind.
@digiphile @zeynep @thosjleeper Potentially ways to get around this by imputing at t1 and measuring exposure behavior at t2
@digiphile @zeynep @thosjleeper Or esimating matched samples to compare similar groups, but these get muddy fast & open more critique
@bkeegan @digiphile As one (potential) study among many & properly contextualized, this study adds to knowledge. That wasn't anyone's issue.
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