Hate, Censorship and Social Research By Brian Simpson

     Our side of politics claims that there is social media bias against conservatives. Well, the other side have rolled out their social scientists to challenge this:
  https://arstechnica.com/science/2020/02/researchers-have-already-tested-googles-algorithms-for-political-bias/

“Motivated by the long-running argument in Washington, DC, computer scientists at Northeastern University decided to investigate political bias in YouTube's comment moderation. The team analyzed 84,068 comments on 258 YouTube videos. At first glance, the team found that comments on right-leaning videos seemed more heavily moderated than those on left-leaning ones. But when the researchers also accounted for factors such as the prevalence of hate speech and misinformation, they found no differences between comment moderation on right- and left-leaning videos. "There is no political censorship," said Christo Wilson, one of the co-authors and associate professor at Northeastern University. "In fact, YouTube appears to just be enforcing their policies against hate speech, which is what they say they're doing." Wilson's collaborators on the paper were graduate students Shan Jiang and Ronald Robertson. To check for political bias in the way comments were moderated, the team had to know whether a video was right- or left-leaning, whether it contained misinformation or hate speech, and which of its comments were moderated over time. From fact-checking websites Snopes and PolitiFact, the scientists were able to get a set of YouTube videos that had been labelled true or false. Then, by scanning the comments on those videos twice, six months apart, they could tell which ones had been taken down. They also used natural language processing to identify hate speech in the comments. To assign their YouTube videos left or right scores, the team made use of an unrelated set of voter records. They checked the voters' Twitter profiles to see which videos were shared by Democrats and Republicans and assigned partisanship scores accordingly.

Controls matter
The raw numbers "would seem to suggest that there is this sort of imbalance in terms of how the moderation is happening," Wilson said. "But then when you dig a little deeper, if you control for other factors like the presence of hate speech and misinformation, all of a sudden, that effect goes away, and there's an equal amount of moderation going on in the left and the right." Kristina Lerman, a computer scientist at the University of Southern California, acknowledged that studies of bias were difficult because the same results could be caused by different factors, known in statistics as confounding variables. Right-leaning videos may simply have attracted stricter comment moderation because they got more dislikes or contained erroneous information or because the comments contained hate speech. Lerman said that Wilson's team had factored alternative possibilities into their analysis using a statistical method known as propensity score matching and that their analysis looked "sound." Kevin Munger, a political scientist at Penn State University, said that, although such a study was important, it only represented a "snapshot." Munger said that it would be "much more useful" if the analysis could be repeated over a longer period of time. In the paper, the authors acknowledged that their findings couldn't be generalized over time because "platform moderation policies are notoriously fickle." Wilson added that their findings couldn't be generalized to other platforms. "The big caveat here is we're just looking at YouTube," he said. "It would be great if there was more work on Facebook, and Instagram, and Snapchat, and whatever other platforms the kids are using these days." Wilson also said that social media platforms were caught in a "fatal embrace" and that every decision they made to censor or allow content was bound to draw criticism from the other side of the political spectrum. "We're so heavily polarized now—maybe no one will ever be happy," he said with a laugh.”

     So, there is no political censorship, which would be news to many. But with all the products of the mainstream social sciences, the results obtained are the product of the methodology used. Thus, they  examined censored comments, which were overwhelmingly right-wing, put these comments to a left wing site like Snopes and mainstream journalists, who if they disapprove, reject the comments. As well, they  rejected all comments that were “hateful,” which is defined to be anything politically incorrect, such as any criticisms of immigration, and requirement for limitations. Bingo! No more right -wing bias! Thus, take away all right-wing comments and there is no bias left, because there are no more comments that can be biased! Logical enough.