Shadow banning is used by social media companies to limit the influence and outreach of targeted users. The user is allowed to post on their social media account, but that post is not seen in part or at all by other users. This silent banning technique is being used to censor certain political views and ways of thinking. Machine learning (AI) helps sort out specific terms and ideas that the social media company does not want to spread online. Social media companies are adopting vague “hate speech” policies so they can get away with banning certain terms and ideas they deem to be harmful, offensive, or not up for debate. The practice of shadow banning has become a modern day censorship tactic to restrict the spread of conservative ideas or beliefs that go against the liberal agenda of social media companies. At Twitter, the culture is unashamedly anti-Trump. The bias of Twitter’s content reviewers bleeds through.
But according to MSNBC commenter Kasie Hunt, Twitter does not shadow ban conservatives because Twitter has “widely debunked” that theory. In other words, the public should just believe Twitter reps and take them at their word, even when serious allegations and lawsuits are staring them in the face. MSNBC liberals explain that Twitter’s investigation of itself is good enough and everyone should take CEO Jack Dorsey at his word, that political and ideological censorship is not taking place.
So why have prominent conservatives, independent thinkers, and Pro-Trump lawmakers such as Devin Nunes, Matt Gaetz, Mark Meadows, Jim Jordan and John Ratcliffe been shadow banned? Why is Julian Assange banned, and what about InfoWars? Why were Natural News and the Health Ranger removed from Twitter right after the Health Ranger questioned on air the shady crypto-currency scam peddled by Twitter’s CEO Jack Dorsey?
Of course Jack Dorsey denies the shadow bans are targeted attempts. In an interview with Sean Hannity, Dorsey defended his company, “We do not shadow ban according to political ideology, viewpoint or content, period. Every model we have on the network is really looking at behaviors on the network. We take those behaviors as signals evolve minute by minute, hour by hour.”
If this is true, then it’s time to hold Dorsey’s feet to the fire and subpoena Twitter engineers and top level executives. It’s time for Twitter employees to testify in court about Twitter’s shadow banning practices. It's time to unveil their filters and find out what ideas and people they target and what terms they eliminate using machine learning.
Olinda Hassan, policy manager for Twitter trust and safety, was interviewed by Project Veritas about the type of people that Twitter targets. “We’re trying to get the s****y people to not show up. It’s a product thing we’re working on,” she says.
Twitter is not a neutral platform, that’s for sure. Twitter is a tool to promote a political agenda. Former Twitter content review agent, Mo Norai, admitted that employees make decisions to ban pro-Trump content. Steven Pierre, software engineer for Twitter admitted that these algorithms aim to “ban a way of talking.”
Pranay Singh, direct messaging engineer for Twitter responded to an impromptu interview. He said Twitter uses machine learning to identify targeted words such as ‘Trump,’ or ‘America’ or any words that describe a ‘redneck.’ Then he says all related content, includes messages and pictures are parsed through so they can be relegated. He even admitted that political figures can be banned due to pressures within the U.S. government to protect certain people and political ideas.
Watch the full Project Veritas investigation into Twitter:
For more visit Censorship.News.