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Yet racist posts against minorities weren't what Facebook's own hate speech detection algorithms were most commonly finding. The software, which the company introduced in 2015, was supposed to detect and automatically delete hate speech before users saw it. Publicly, the company said in 2019 that its algorithms proactively caught more than 80 percent of hate speech.
But this statistic hid a serious problem that was obvious to researchers: The algorithm was aggressively detecting comments denigrating White people more than attacks on every other group, according to several of the documents. One April 2020 document said roughly 90 percent of "hate speech" subject to content takedowns were statements of contempt, inferiority and disgust directed at White people and men, though the time frame is unclear. And it consistently failed to remove the most derogatory, racist content. The Post previously reported on a portion of the project.