Where in the world are you? Geolocation and language identification in Twitter

Auteur(s) et Affiliation(s)



Description :
This article studies the reliability of key methods used to determine language and location of con-tent in Twitter. It compares three automated language identification packages to Twitter's user interface language setting and to a human coding of languages to identify common sources of disagreement. It also demonstrates that in many cases user-entered profile locations differ from the physical locations from which users are actually tweeting. As such, these open-ended, user-generated profile locations cannot be used as useful proxies for the physical locations from which information is published to Twitter.


Type de document :
Article de périodique

Source :
The Professional geographer, issn : 0033-0124, 2014, vol. 66, n°. 4, p. 568-578, nombre de pages : 11, Références bibliographiques : 2 p.

Date :
2014

Editeur :
Pays édition : Etats-Unis, Cambridge, MA, Blackwell