Characterising social media users by gender and place of residence

Muñoz García, Oscar and Lanchas Sampablo, Jesús and Prieto Ruiz, David (2013). Characterising social media users by gender and place of residence. "Revista de Procesamiento de Lenguaje Natural", v. 51 ; pp. 57-64. ISSN 1135-5948.

Description

Title: Characterising social media users by gender and place of residence
Author/s:
  • Muñoz García, Oscar
  • Lanchas Sampablo, Jesús
  • Prieto Ruiz, David
Item Type: Article
Título de Revista/Publicación: Revista de Procesamiento de Lenguaje Natural
Date: 2013
ISSN: 1135-5948
Volume: 51
Subjects:
Freetext Keywords: Demographics; Genre; Pace of residence; Social media analysis; Users
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group OEG
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Characterising users through demographic attributes is a necessary step before conducting opinion surveys from information published by such users in social media. In this paper, we describe, compare and evaluate different techniques for the identification of the attributes "gender"' and "place of residence" by mining the metadata associated to the users, the content published and shared by themselves, and their friendship networks. The results obtained show that the social network is a valuable source of information for obtaining the sociodemographic attributes of single users.

More information

Item ID: 38076
DC Identifier: http://oa.upm.es/38076/
OAI Identifier: oai:oa.upm.es:38076
Official URL: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/issue/archive
Deposited by: Memoria Investigacion
Deposited on: 04 Feb 2016 13:56
Last Modified: 04 Feb 2016 13:56
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