If you’re up for a deep dive into social-networking culture today, check out a new study from researchers at Royal Holloway University and Princeton University, exploring the way language is used by different ‘tribes’ on Twitter. “By looking at the language someone uses, it is possible to predict which community he or she is likely to belong to, with up to 80% accuracy,” claims Royal Holloway’s Dr John Bryden. His colleague Professor Vincent Jansen gives a musical example: “Interestingly, just as people have varying regional accents, we also found that communities would misspell words in different ways. The Justin Bieber fans have a habit of ending words in ‘ee’, as in ‘pleasee’, while school teachers tend to use long words.”
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In the year or so since its launch, AI startup Kaiber has been making waves,…