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(Article of periodic en Anglais - 2014)

Document title

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

Authors(s) and Affiliation(s)

GRAHAM M. (1) ; HALE S.A. (1) ; GAFFNEY D. ;
(1) Oxford Internet Institute, Univ., Oxford, ROYAUME-UNI

Abstract

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

Source

Article of periodic

published at : The Professional geographer / ISSN 0033-0124

Editor : Blackwell, Cambridge, MA - ETATS-UNIS (1946)

Millesime : 2014, vol. 66, no4 [pp. 568-578]

Bibliographic references : 2 p.

Collation : 1 fig., 6 tabl., 1 ill.

Language

Anglais

INIST-CNRS, Cote INIST : 9188

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1080/00330124.2014.907699

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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