By Stephen Boyd.
Updated December 8, 2020.
On September 29, 2020, the US held their first presidential debate between President Trump and former Vice President Biden. The debate immediately became known not for what was said or policies debated but for the interuptions and complete lack of decorum. One anchor called it a "shitshow" and to quote an anchor from CNN:
"That was a hot mess inside a dumpster fire inside a train wreck. That was the worst debate I have ever seen. It wasn't even a debate. It was a disgrace. And it's primarily because of President Trump, who spent the entire time interrupting not abiding by the rules he agreed to."
The second debate took place on October 22, 2020 and it garnered a lot of interest to see if it would be the same style (disaster) as the first debate.
So what does this debate look like when visualized? Are all of these interruptions visible? Is it possible to tell who is interrupting the most?
To test out this idea, I am using transcripts from Rev Transcription Services. I have processed the data to include the times when each person speaks. You can find the ways I adjusted the data in the data_munging.js file.
There is also a related blog post about how Regex was used to pre-process the data.
Demystifying Regex: A Walk-through On How To Prep Data For A Visualization.
The visualization is built using (the fantastic) P5.js. And as of Oct 20, 2020, the visualization is still being adjusted and tweaked.
Further questions to be asked are how does this debate compare to previous debates and possibly future debates between Trump and Biden?
Date: September 29, 2020
Moderator: Chris Wallace.
Date: October 22, 2020
Moderator: Kristen Welker.