The scientists collaborated with other universities and Microsoft Research and reasoned that by assessing peoples’ social media posts, they can figure out where you stand in the economic pecking order.
In the UK they said they sorted occupations into nine classes and assessed 5,191 Twitter uses with over 10 million tweets.
They created a natural language processing algorithm that looked at words people in each of the nine classes use more than others.
One surprising result is that people who earn more are more angry and fearful, while optimists don’t earn very much.
Perhaps not surprisingly, people in lower income brackets use more swear words.
The researchers have yet to assess how the way people classify themselves matches the money they actually earn.