Algorithms used by Facebook to suppress what the Big Tech monopoly labels as hate speech identify overwhelmingly more bigotry and prejudice against white people and men.

90% of the content removed by Facebook’s algorithms was aimed towards demographics, demonstrating that “hate speech” against other racial groups and women is smaller. The amount was revealed in an internal business document dated April 2020, according to Big League Politics.

As the Washington Post reported:

“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.”

According to FBI crime data published in 2017, blacks and Hispanics are significantly more likely than whites to conduct hate crimes, a figure that may explain why hateful discourse directed against white people is more widespread than anything else in the social platform.

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