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Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.
McCormick, Tyler H; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S.
Afiliación
  • McCormick TH; Department of Sociology, University of Washington, Seattle, WA, USA.
  • Lee H; Department of Statistics, University of Washington, Seattle, WA, USA.
  • Cesare N; Center for Statistics and the Social Sciences, University of Washington, Seattle, WA, USA.
  • Shojaie A; Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
  • Spiro ES; Department of Sociology, University of Washington, Seattle, WA, USA.
Sociol Methods Res ; 46(3): 390-421, 2017 08.
Article en En | MEDLINE | ID: mdl-29033471
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users-a key component of much social science research-remains a challenge. This article develops an accurate and reliable data processing approach for social science researchers interested in using Twitter data to examine behaviors and attitudes, as well as the demographic characteristics of the populations expressing or engaging in them. Using information gathered from Twitter users who state an intention to not vote in the 2012 presidential election, we describe and evaluate a method for processing data to retrieve demographic information reported by users that is not encoded as text (e.g., details of images) and evaluate the reliability of these techniques. We end by assessing the challenges of this data collection strategy and discussing how large-scale social media data may benefit demographic researchers.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sociol Methods Res Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sociol Methods Res Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos