“So to avoid being flagged, they use digital slang such as “wypipo,” emojis or hashtags to elude Facebook’s computer algorithms and content moderators. They operate under aliases and maintain back-up accounts to avoid losing content and access to their community. And they’ve developed a buddy system to alert friends and followers when a fellow black activist has been sent to Facebook jail, sharing the news of the suspension and the posts that put them there.”<br><br>STOP. You’re not gonna dismantle the master’s house using the master’s tools… #AltBlackTech #AltBlackMedia #AltBlackNews Support Cash App $AltBlackMedia

“So to avoid being flagged, they use digital slang such as “wypipo,” emojis or hashtags to elude Facebook’s computer algorithms and content moderators. They operate under aliases and maintain back-up accounts to avoid losing content and access to their community. And they’ve developed a buddy system to alert friends and followers when a fellow black activist has been sent to Facebook jail, sharing the news of the suspension and the posts that put them there.”

STOP. You’re not gonna dismantle the master’s house using the master’s tools… #AltBlackTech #AltBlackMedia #AltBlackNews Support Cash App $AltBlackMedia

Facebook while black: Users call it getting ‘Zucked,’ say talking about racism is censored as hate speech

Black Facebook users complain they can’t talk about racism without being censored for hate speech. Civil rights groups want Facebook to fix it.

Previous Post This is a lie. They’re policing black political speech.

Next Post “But two new studies show that AI trained to identify hate speech may actually end up amplifying racial bias. In one study, researchers found that leading AI models for processing hate speech were one-and-a-half times more likely to flag tweets as offensive or hateful when they were written by African Americans, and 2.2 times more likely to flag tweets written in African American English (which is commonly spoken by black people in the US). Another study found similar widespread evidence of racial bias against black speech in five widely used academic data sets for studying hate speech that totaled around 155,800 Twitter posts.<br><br>Both papers, presented at a recent prestigious annual conference for computational linguistics, show how natural language processing AI — which is often proposed as a tool to objectively identify offensive language — can amplify the same biases that human beings have. They also prove how the test data that feeds these algorithms have baked-in bias from the start.”