CNN’s Stelter Cites ‘Fact Checkers’ in Call for Increased Twitter Censorship
CNN’s Brian Stelter, who has consistently supported censorship of those critical of those critical of the corporate media apparatus, is again advocating for increased censorship on Twitter. Stelter used “misinformation” and “disinformation” as a justification for censorship, citing work from professors at two elite universities. Stelter has often said that the media needs to be more trustworthy, but has never taken responsibility for corporate media’s repeated lies and debunked reporting.
In a recent segment, Stelter asserted that Republicans and conservatives are more likely to be censored because they are more likely to share fake news. “Thus with social media’s platforms, policies aimed at reducing nonsense and boosting real news, would ensnare Republican users more often,” Stelter said on his show, Reliable Sources.
Stelter then continued to talk about how “free speech” and “cancel culture narratives” are central to GOP and “Trumpian” fundraising efforts. He added that Elon Musk’s attempted hostile takeover of Twitter is built on this premise.
One of the academics responsible for the research that Stelter cited responded to the tweet above, which was initially shared by Tim Graham of Newsbusters.
Since this research is being shared on a major network, albeit on a show with dismally poor ratings, it is worth looking into the research and those conducting it.
According to his Twitter profile, David G. Rand is a professor at MIT who specializes in “misinformation and fake news”, among other social topics. He also has he/him pronouns included in his bio.
Stelter, as well as the cited academics, begin with the premise that there is broad “bipartisan support” for social media networks policing fake news. This begs the question: who determines what is considered fake?
Rand also asserts that right leaning users share stories from “lower quality news sources.”
https://nationalfile.com/cnns-stelter-cites-fact-checkers-in-call-for-increased-twitter-censorship/