Happiness levels captured by Tweets rise logarithmically with distance from our average location, say computer scientists studying Twitter sentiment.

The way sociologists and anthropologists study modern society has changed dramatically in recent years. One of the major advances has been the ability to study human behavior by mining the massive databases from technologies such as mobile phones and social media, such as Twitter. These technologies provide a fire hose of near real-time data about people's ideas, location and even their feelings.

That's enabled entirely new insight into the way society behaves. Today, Morgan Frank and colleagues at the University of Vermont take this work a step further by analyzing how the sentiments people express over Twitter change as they move further afield.

Their surprising conclusion? "Expressed happiness increases logarithmically with distance from an individual’s average location," they say. In other words, the further away we are, the happier we become, as measured by the sentiments of our tweets.

The team analyzed 37 million tweets from 180,000 individuals in 2011 that also gave their location. They then characterized the movement associated with each individual.

They found that most people tweet largely from two locations which the researchers call work and home. That's a result that others have also found.

However, they also measured the average distance that each Twitter user traveled according to their geolocation data. They found that people in cities tend to travel over a larger area than people who live in less densely populated areas.

Finally, they measured the sentiment of each tweet, using an established scale of happiness associated with common words. Their most interesting result comes from determining how this sentiment changes with distance from a user's average location.

The results are fascinating. The researchers say tweets authored thousands of kilometers from from an individual's expected location are more likely to contain the words "beach," "great," "restaurant" and so on and less likely to contain negative words such as "no," "don't," "hate" and the suchlike.

However, when people are closer to their average location, they are more likely to laugh using words like "hahaha."

In fact, Morgan and his team say the biggest difference in expressed happiness levels is the result of the reduced use of these negative words when further from home.

Of course, an important caveat is that expressed happiness is not the same as actual happiness. But nevertheless, this kind of analysis clearly gives sociologists an unprecedented new window into the human psyche.

Image courtesy of Flickr,

This article originally published at MIT Technology Review here