Uses keywords like “America” and “Trump” to silence opposing views
Paul Joseph Watson
January 11, 2018
In what represents a chokeslam of an exposé, Project Veritas has released undercover video of Twitter engineers admitting that they deliberately censor conservative opinions and are implementing a way of relegating “shitty people” so their content is shadow banned.
In the video, current and former Twitter employees confirm virtually everything that conservatives have long suspected about the left-wing company silencing people on the right.
Key quotes include;
Olinda Hassan, Policy Manager for Twitter Trust and Safety, admits that Twitter is implementing software algorithms that down rank conservatives so “shitty people to not show up” on people’s timelines.
“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,” says former Twitter software engineer Abhinov Vadrevu. “So they just think that no one is engaging with their content, when in reality, no one is seeing it.”
Parnay Singh, Twitter Direct Messaging Engineer, reveals that the company’s machine learning algorithms are programmed with “five thousand keywords to describe a redneck,” which include words like Trump, America, as well as images of the U.S. flag, guns and Christian crosses and these terms are used to delete “bot” accounts as well as down rank conservatives.
Singh also revealed that the U.S. government routinely pressures Twitter to take down Julian Assange’s account and that this is the reason he isn’t verified Singh also says that governments ask Twitter to remove accounts belonging to other public figures because they don’t like their political views.
Former Twitter Content Review Agent Mo Norai admits that Twitter employees have the power to ban accounts if they…