This example doesn't demonstrate a specific statistical test. Instead, it demonstrate how data can be used to answer a hotly contested question: Are certain media outlets biased?
How can we answer this? Charlie Smart, working for The Pudding, addressed this question via content analysis. Here is how he did it:
And here are some of their findings:
|Yes, Fox News was talking about the Clintons a lot.|
|While over at MSNBC, they discussed the investigation into Russia and the 2016 elections ore frequently.|
|While kneeling during the anthem was featured on all networks, it was featured most frequently on Fox|
|And context matters. What words are associated with "dossier"?|
|How do the different networks contextualize President Trump's tweets?|
Another reason I like this example: It points out the trends for the three big networks. So, we aren't a bunch of Marxist professors ragging on FOX, and we aren't a bunch of Fake Newsers ragging on MSNBC: We can dispassionately look at the trends present across the spectrum. I think this is important in diverse classrooms with diverse opinions.
I think this example also shows some really good visualizations for different sorts of data, allowing users to easily comprehend trend across time, comparisons among the three networks, etc.