Oxford's Computational Propaganda Project surveyed 13,500 "politically active" US Twitter users and 48,000 publicly visible Facebook pages, coding them for political affiliation, then measuring how much "junk news" (a news article that fails to live up to three or more of the following: professionalism, style, credibility, bias, counterfeit) was consumed and share by users based on their political affiliation. (more…)
