This website provides an overview of language usage across the world, viewed through the lens of Twitter. The dataset is collected over a period of over 550 days (October 2010 to May 2012) and represents an unbiased random sample of the global Twitter feed. Tweets were filtered to include live GPS location information, and categorized by language (using the open source library of Chrome Language Detector by Google Inc.).
This website serves also as Supplementary Material to "The Twitter of Babel: Mapping World Languages through Microblogging Platforms" PLOS ONE 8(4) e61981 2013 (D.Mocanu, A. Baronchelli, N. Perra, B. Goncalves, Q. Zhang, A. Vespigani)
The world map in this page shows the twitter signals around the world. Clicking or selecting a country will give the map of Twitter signal in different languages, as well as the percentage of twitter signals in that country.