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How Facebook got addicted to spreading misinformation

Joaquin Quiñonero Candela, director of Applied Machine Learning, Facebook; image credit: acm.org

Synopsis

Facebook’s algorithms weren’t created to filter out what was false or inflammatory; they were designed to make people share and engage with content that was most likely to outrage or titillate them. The work of its Responsible AI team, tasked with tackling AI bias, is irrelevant to fixing problems of misinformation, extremism, and political polarisation.

By Karen HaoJoaquin Quiñonero Candela, a director of AI at Facebook, was apologizing to his audience.It was March 23, 2018, just days after the revelation that Cambridge Analytica, a consultancy that worked on Donald Trump’s 2016 presidential election campaign, had surreptitiously siphoned the personal data of tens of millions of Americans from their Facebook accounts in an attempt to influence how they voted. It was the biggest privacy breach

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