More Election Day Twitter Analysis and Visualization

Finishing up with last week’s in-class assignment to respond to election-day twitter activity, some other great work from the class:

Priya Iyer processed a collection of tweets just before and after the election returns and pulled out the most frequent words.  She then ran them through the wonderful Wordle program to create a visualization where size indicates frequency (color was chosen by the program, and coincidentally (?) choosing blue and red for “obama” and “romney”.

Before the election:

Just after the returns:

Below is a heatmap of the locations of people who tweeted with the hashtag #Ivoted on election day, based on their geolocation information, by the BandHype team.

Derrick Cheng and Katrina Rogan made a video of their app running that shows the proportion of tweets that talk solely about Obama and solely about Romney.  Here is a screenshot:

Check it out!

I think this was a great exercise, as we all learned from each other a bit more about how to get our apps online and get faster at doing our coding, which should help with the final projects.


This entry was posted in Uncategorized. Bookmark the permalink.