People tend to trust video evidence as an arbiter of truth. But that faith could soon become quaint, as machine learning is enabling ordinary users to create fabricated videos of just about anyone doing just about anything. Earlier this month, the popular online forum Reddit shut down r/deepfakes, a subreddit discussion board devoted to using open-source machine-learning tools to insert famous faces into pornographic videos. This episode represents just one of the many ways that the this technology could fuel social problems, particularly in an age of political polarization. Combating the negative effects of fabricated video will require a shift among both news outlets and news consumers. When you see something, or when you believe that you're seeing something and hearing something, it has a much more visceral impact ... than when it's something that you're just reading about," says Henry Farrell, a professor of political science. Professor Farrell warned that this technology's "implications for democracy are eye-opening," in a Feb. 4 New York Times op-ed. "Democracy assumes that its citizens share the same reality," the op-ed concluded. "We're about to find out whether democracy can be preserved when this assumption no longer holds." When mixed with confirmation bias - the tendency to process information in a way that conforms to one's preexisting beliefs - [the technology] could become an increasingly destructive social influence, one that corrodes even good-faith efforts to tell the truth.