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Sci Tech

How YouTube's algorithm distorts truth

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'An ex-YouTube insider reveals how its recommendation algorithm promotes divisive clips and conspiracy videos. Company insiders say  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”. There are 1.5 billion YouTube users , which is more than the number of households that own televisions. What they watch is shaped by this algorithm, which skims and ranks billions of videos to identify 20 “up next” clips that are both relevant to a previous video and most likely, statistically speaking, to keep a person hooked on their screen.'

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I began teaching in 1963,; Ba and BS in Education -Brooklyn College. I have the equivalent of 2 additional Master's, mainly in Literacy Studies and Graphic Design. I was the only seventh grade teacher of English from 1990 -1999 at East Side (more...)
 

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