Author: James Vincent
Illustration by Alex Castro / Th
Facebook has always been a company focused on growth above all else. More users and more engagement equals more revenue. The cost of that single-mindedness is spelled out clearly in this brilliant story from MIT Technology Review. It details how attempts to tackle misinformation by the company’s AI team using machine learning were apparently stymied by Facebook’s unwillingness to limit user engagement.
“If a model reduces engagement too much, it’s discarded. Otherwise, it’s deployed and continually monitored,” writes author Karen Hao of Facebook’s machine learning models. “But this approach soon caused issues. The models that maximize engagement also favor controversy, misinformation, and extremism: put simply, people just like...
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Illustration by Alex Castro / Th
Facebook has always been a company focused on growth above all else. More users and more engagement equals more revenue. The cost of that single-mindedness is spelled out clearly in this brilliant story from MIT Technology Review. It details how attempts to tackle misinformation by the company’s AI team using machine learning were apparently stymied by Facebook’s unwillingness to limit user engagement.
“If a model reduces engagement too much, it’s discarded. Otherwise, it’s deployed and continually monitored,” writes author Karen Hao of Facebook’s machine learning models. “But this approach soon caused issues. The models that maximize engagement also favor controversy, misinformation, and extremism: put simply, people just like...
Continue reading…
Continue reading...