Twitter admits to #Keyword Targeting and special favors

  • Steven Pierre, Twitter engineer explains “shadow banning,” says “it’s going to ban a way of talking”
  • Former Twitter software engineer Abhinav Vadrevu on shadow banning: “they just think that no one is engaging with their content, when in reality, no one is seeing it”
  • Former Twitter Content Review Agent Mo Norai explains banning process: “if it was a pro-Trump thing and I’m anti-Trump… I banned his whole account… it’s at your discretion”
  • When asked if banning process was an unwritten rule, Norai adds “Very. A lot of unwritten rules… It was never written it was more said”
  • Olinda Hassan, Policy Manager for Twitter Trust and Safety explains, “we’re trying to ‘down rank’… shitty people to not show up,” “we’re working [that] on right now”
  • “Shadow banning” to be used to stealthily target political views- former Twitter engineer says, “that’s a thing”
  • Censorship of certain political viewpoints to be automated via “machine learning” according to Twitter software engineer
  • Parnay Singh, Twitter Direct Messaging Engineer, on machine learning algorithms, “you have like five thousand keywords to describe a redneck…” “the majority of it are for Republicans”
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