We’ve launched our Twitter election monitors for the 2020 Super Tuesday primaries, the visualizations are now being posted at Monitoring the Election, or you can see them on GitHub. These data are being collected using a similar process to the one we tested and deployed in 2018. And if you are interested in seeing the code from 2018, here’s a link for that GitHub repo.
The major improvement since 2018 is that we’ve rebuild the code base, and this now runs in the cloud. That should make our collection stream more reliable, and will allow us to scale the collection process to cover additional keywords and hashtags when necessary. These improvements are the subject of a technical paper that is now under development, and we hope to release soon.
We also continue to work on the geo-classifaction of the data we are collecting, and have a few improvements in our process that we’ll roll out soon. These improvements should allow us to monitor social media discussion about the Super Tuesday primaries in Southern California.
The team working on this project includes Nicholas Adams-Cohen (now a post-doc at Stanford University) and Jian Cao (a post-doc here at Caltech).