  We conduct a preliminary analysis of comments on political YouTube content
containing misinformation in comparison to comments on trustworthy or
apolitical videos, labelling the bias and factual ratings of our channels
according to Media Bias Fact Check where applicable. One of our most
interesting discoveries is that especially-polarized or misinformative
political channels (Left-Bias, Right-Bias, PragerU, Conspiracy-Pseudoscience,
and Questionable Source) generate 7.5x more comments per view and 10.42x more
replies per view than apolitical or Pro-Science channels; in particular,
Conspiracy-Pseudoscience and Questionable Sources generate 8.3x more comments
per view and 11.0x more replies per view than apolitical and Pro-Science
channels. We also compared average thread lengths, average comment lengths, and
profanity rates across channels, and present simple machine learning
classifiers for predicting the bias category of a video based on these
statistics.
