Visualizing #Smog via Twitter by Alana Menendez (Bowdoin College) for Data Driven Societies (Sp14) with Profs Gaze and Gieseking

1. #smog Twitter
Data
Alana Menendez

2. International Scope
-3% of my 5,600 Tweets had geolocation attached
Global Overview of
#smog Tweet location
origins.
Created using
BatchGeo.

3. #smog Tweets in the United States
Locations of #smog Tweets in the U.S. (Western U.S. to the left and Eastern U.S. to the right). Created using
BatchGeo.

4. Language Breakdown
Where are all
the Chinese
Tweets?
#smog Tweets by language.
Created using Microsoft Excel.

5. Who is Tweeting about Smog?
-5 distinct clusters
-Many singletons
Smog Network Analysis. Created
using Gephi.

6. Final Thoughts
-#smog Twitter activity may not be
representative of the actual population
encountering the most air pollution.
-Many individuals Tweet about smog without
necessarily having an environmentalist
agenda.