When Ann Coulter Tweeted "Note to H1-B hires: Can you wait 3 generations before demanding we scrap our country's fundamental freedoms?" she was talking about this video:

Undercover video experts Project Veritas have once again obtained damaging admissions from people who don't know they're being filmed: UNDERCOVER VIDEO: Twitter Engineers To “Ban a Way of Talking” Through “Shadow Banning,” Algorithms to Censor Opposing Political Opinion, January 11, 2018.

What strikes someone focused on the National Question is the names—Project Veritas mentions

• 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” [Emphasis added.]

The only one who even sounds like he might be a normal American is Steven Pierre, who turns out to be black, and may be an immigrant.

Here's one typical quote:

At a San Francisco bar on January 5th, Pranay Singh details how the shadow-banning algorithms targeting right-leaning are engineered:

“Yeah you look for Trump, or America, and you have like five thousand keywords to describe a redneck. Then you look and parse all the messages, all the pictures, and then you look for stuff that matches that stuff.”

When asked if the majority of the algorithms are targeted against conservative or liberal users of Twitter, Singh said, “I would say majority of it are for Republicans.”

It turns out that support for free speech is mostly a white thing. In a related note, the Twitter employee (on a  fixed-term contract under a U.S. work and study visa) who briefly deactivated Trump's Twitter account  in November, turned out to be a Turk. (The media referred to him as "Bahtiyar Duysak, of Germany".)

Screenshots: