Just days after we reported a bust on Google for its biased fact-checking feature which overwhelmingly red-flags conservative websites, Twitter has come into the crosshairs.
Project Veritas has made good on its promise of more candid camera revelations this week, this time with a hit on Twitter.
It’s been alleged for quite awhile that Google’s anti-conservative bias is rivaled by the bias at Twitter. And now we have proof in the pudding.
According to the admission of several employees, as much as 99% of Twitter ‘hates Trump.’
And several of those employees described a sort of censorship of pro-Trumpers called ‘shadow banning’ in which tweets by conservatives simply don’t show up in other users’ feeds.
We’re shocked, absolutely shocked.
Here’s more from Project Veritas…
In the latest undercover Project Veritas video investigation, current and former Twitter employees are on camera explaining steps the social media giant is taking to censor political content that they don’t like.
This video release follows the first undercover Twitter exposé Project Veritas released on January 10th which showed Twitter Senior Network Security Engineer Clay Haynes saying that Twitter is “more than happy to help the Department of Justice with their little [President Donald Trump] investigation.” Twitter responded to the video with a statementshortly after that release, stating “the individual depicted in this video was speaking in a personal capacity and does not represent of speak for Twitter.” The video released by Project Veritas today features eight employees, and a Project Veritas spokesman said there are more videos featuring additional employees coming.
On January 3rd 2018 at a San Francisco restaurant, Abhinov Vadrevu, a former Twitter Software Engineer explains a strategy, called “shadow banning,” that to his knowledge, Twitter has employed:
“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.”
