Pulse of the Nation: U.S. Mood Throughout the Day Inferred from Twitter

Here is an amazing video created by researchers from Northeastern University and Harvard University who are studying the characteristics and dynamics of Twitter.

The team took a sample of over 300 million tweets originating in the United States, between September 2006 and August 2009, and mapped them based on the “location” line in users’ Twitter profiles. They also analyzed each tweet for mood, based on a word list that values “affective norms in English words.” The relative size of each state shows how many tweets are coming from that area, and the color indicates mood. The video cycles twice and it represents an average over a whole week (The relative size of each state shows how many tweets are coming from that area, and the color indicates mood.).

The results are fascinating as a number of interesting trends can be observed in the data. "First, overall daily variations can be seen with the early morning and late evening having the highest level of happy tweets. Second, geographic variations can be observed, with the west coast showing happier tweets in a pattern that is consistently three hours behind the east coast."

Watch the video below or click HERE:



I also wanted to remind you that you can always follow the mood of the CareerTech Testing Center on Twitter @CareerTechTest