David Robson writes for BBC Future (!) about a new analysis of nearly a billion tweets that makes a nice follow-up to yesterday’s post; this one is based on SCIENCE:
The researcher behind the study, Jack Grieve at the University of Birmingham, UK, analysed more than 980 million Tweets in total – consisting of 8.9 billion words – posted between October 2013 and November 2014, and spanning 3,075 of the 3,108 US counties. […] The result was a list of 54 terms […]
Having compiled this new lexicon, Grieve next used Twitter’s geocoded data to track its origins and spread across the USA. Baeless [‘single’], for instance, appeared to crop up in a few different counties across the south, before building in popularity and then spreading north and west.
In total, Grieve identified five hubs driving linguistic change. In order of importance, they were:
Recent Comments