Chris Albon has collected data on 885,222 debate tweets from the third Presidential Debate of 2016.
As you can see from the transcript, it wasn’t a “debate” in any meaningful sense of the term.
The quality of tweets about that debate are equally questionable.
However, the people behind those tweets vote, buy products, click on ads, etc., so despite my title description as “political noise data,” it is important political noise data.
To conform to Twitter terms of service, Chris provides the relevant tweet ids and a script to enable construction of your own data set.
BTW, Chris includes his Twitter mining scripts.
Enjoy!