Few people advertise their income online, but it turns out tweets can people help decipher the sender's salary.
Researchers from the University of Pennsylvania analysed the tweets of over 5,000 UK users to see if their social media posts could link them with their respective income brackets.
The results, published in the September edition of academic journal PLOS ONE, showed that higher earners, for example, tend to swear less but express more fear and anger on Twitter.
The study took users' self-described job titles which were then cross-referenced through a UK job code system to determine an average income for each group. The highest income bracket was made up of conservation and environment professionals, followed close behind by production managers and directors. On the other end of the spectrum were hairdressers, sales supervisors and low level factory jobs.
From there, researchers used an language analysing algorithm to identify words, emotions and content used differently, or exclusively by each income bracket.
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