How Many Times Do You Become a Label on YouTube?

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The number of times that the algorithm said that Obama was born in Kenya was in the hundreds of millions. At some point, if the algorithm is not liable, these things are going to happen. If you have a video that's got a hundred million views, then you should be able to say what percentage of those views came from recommendations. This would open up a bunch of transparency and accountability for you too.

When we press play on a YouTube video, we set in motion an algorithm that taps all available data to find the next video that keeps us glued to the screen. Because of its advertising-based business model, YouTube’s top priority is not to help us learn to play the accordion, tie a bow tie, heal an injury, or see a new city — it’s to keep us staring at the screen for as long as possible, regardless of the content. This episode’s guest, AI expert Guillaume Chaslot, helped write YouTube’s recommendation engine and explains how those priorities spin up outrage, conspiracy theories and extremism. After leaving YouTube, Guillaume’s mission became shedding light on those hidden patterns on his website, AlgoTransparency.org, which tracks and publicizes YouTube recommendations for controversial content channels. Through his work, he encourages YouTube to take responsibility for the videos it promotes and aims to give viewers more control.