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’… s—– 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” more …
Opinion: “Ladies and gentlemen, the Captain has turned on the Fasten Seat Belt sign.”
Shadow banning is applied to speech that Twitter bosses don’t like. Oh, you can tweet your little heart out, but the content will not be able to be read by anyone:
“One strategy is to shadow ban so you have ultimate control. The idea of a shadow ban is that you ban someone but they don’t know they’ve been banned, because they keep posting and no one sees their content. So they just think that no one is engaging with their content, when in reality, no one is seeing it.”
The Gate Keeper in the 21st century is not Big Brother but a machine that does what even George Orwell could not dream up. Imagine a machine being able to completely censure the written word and the writer doesn’t even know.
Imagine what the Twitter machine thinks of Scripture.