New Twitter Study Shows Global Happiness On The Decline

New Twitter Study Shows Global Happiness On The Decline

In case you didn’t know, or have yet to receive a tweet about it, twitter is now being used for research. For instance at Cornell University a study was conducted which looked through over 500 million tweets to gauge users moods throughout the day: It turns out that we start our days positively (positive tweets), then our moods begin to decline throughout the day (at around midnight they pick back up again). A more recent study at the University of Vermont has also been conducted in which, “… more then 46 billion words written in Twitter tweets by 63 million Twitters users around the globe…” were analyzed. From this the researchers immersed themselves in a new perspective, In these billions of words is not a view of any individual’s state of mind. Instead, like billions of moving atoms add up to the overall temperature of a room, billions of words used to express what people are feeling resolve into a view of the relative mood of large groups.” Like in the Cornell study, The Vermont team then took these scores and applied them to the huge pool of words they collected from Twitter. Because these tweets each have a date and time, and, sometimes, other demographic information—like location—they show changing patterns of word use that provides insights in the way groups of people are feeling.” The implications of such research? The new approach lets the researchers measure happiness at different scales of time and geography… and stretched out over the last three years, these patterns of word use show a drop in average happiness.” So, the Cornell study measured...
The Happy Planet

The Happy Planet

Statistician Nic Marks asks why we measure a nation’s success by its productivity — instead of by the happiness and well-being of its people. He introduces the Happy Planet Index, which tracks national well-being against resource use (because a happy life doesn’t have to cost the earth). Which countries rank highest in the HPI? You might be...