I think this is quite interesting given the state of things. However, as I have discovered there are actually many ways to measure the mood of the nation through pulling data from various social networking sites. I think Jonathan Harris's (Legend) project We Feel Fine illustrates this concept completely.
http://www.number27.org/wefeelfine.html
Data visualisation is a bit interest of mine and I think there is a lot of potential in this sort of data.
(http://simplecomplexity.net/visualizing-human-emotions-we-feel-fine/)
"Since August 2005, We Feel Fine has been harvesting human feelings from a large number of weblogs. Every few minutes, the system searches the world’s newly posted blog entries for occurrences of the phrases “I feel” and “I am feeling”. When it finds such a phrase, it records the full sentence, up to the period, and identifies the “feeling” expressed in that sentence (e.g. sad, happy, depressed, etc.). Because blogs are structured in largely standard ways, the age, gender, and geographical location of the author can often be extracted and saved along with the sentence, as can the local weather conditions at the time the sentence was written. All of this information is saved. Their database has several million records, and they collect about 20,000 per day."
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