How Youtube's Algorithm Distorts Truth

YouTube mostly escaped scrutiny in the wake of Trump's election—people instead focusing their attention on Facebook's fake news problem and the vast awfulness of Twitter. But YouTube's algorithm looks like it might be a real problem for all of us. 

Company insiders tell me the algorithm is the single most important engine of YouTube’s growth. In one of the few public explanations of how the formula works – an academic paper that sketches the algorithm’s deep neural networks, crunching a vast pool of data about videos and the people who watch them – YouTube engineers describe it as one of the “largest scale and most sophisticated industrial recommendation systems in existence”.


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