People are fairly happy right at home, it turns out. And they’re at their unhappiest when within about 1 kilometer from home (probably on their way to work, or the soul-crushing daily routine).
Researchers at the University of Vermont used a simple instrument they’ve built–dubbed the “hedonometer”–to check 35 million tweets for the frequency of positive expressions like “LOL,” “beach,” and “party” against negative words like “damn,” “angry,” and “traffic.” This sentiment analysis was then correlated with the location of those tweets, and the resulting data exposed some surprising patterns that could be of use to individuals, app developers, and marketers alike. To read more, click here.