Cable news channels have also been shown to have an impact on the opinions and political behavior of voters.

The increasing trend of political polarization in the U.S. is reflected in media consumption patterns that indicate partisan polarization.

The primary objective of this paper was to develop a model capable of characterizing the biases of cable news programs given a large volume of text data

This research yielded several significant results. Firstly, our findings suggest that it is feasible to computationally extract media bias characterizations

The program clusters are consistent over time, although there are a few periods of major movement between months.

Using NexisUni, we obtained all transcripts from Fox News, MSNBC, and CNN from January 2020 to December 2020, a total of 14,000 transcripts.

Time to hit back at the biased MSM - let's keep them accountable and help to push forward the real BTC facts, through awesome reporting.