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The Stylisation of Internet Life

Predictors of Internet Leisure Patterns Using Digital Inequality and Status Group Perspectives

Datos Bibliográficos

ID2642471
AutoresRoderick Graham (0000-0001-6295-6620, City University of New York, autor de correspondencia)
Año2008
Volumen13
Número5
Páginas27-39
Fecha de publicación2008-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSociological Research Online (JOURNAL)
Identificadores de la revistaISSN: 1360-7804 • E-ISSN: 1360-7804
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.5153/sro.1804
OpenAlexW2050780326
IdiomaEN
Citas recibidas10
Referencias citadas35

This research addresses the question: What are the predictors of internet leisure patterns? With the barriers to internet access receding the question can be asked: Whether or not social groups are beginning to distinguish themselves through different types of internet activities? This research will focus on the domain of internet leisure and entertainment within the United States population. Internet leisure is measured in this study by playing games, doing hobbies, reading, watching videos and listening to music. Predictors are drawn from a digital inequality and a Weberian status group perspective. Binary logistic regression models are run on a nationally representative survey from the Pew Research Center's Internet and American Life Project (N = 2013). This research suggests that: (1) both digital inequality and status group perspectives tend to work together to explain all internet activities, but a status group perspective provides more explanation for leisure patterns, (2) internet leisure is best conceptualised as a form of popular culture with minorities and people of low socioeconomic status consuming leisure at higher rates

Active listening · Digital divide · Entertainment · Inequality · Political science · Population · Social inequality · Socioeconomic status · Sociology · The Internet · World Wide Web · Computer Science · Demography · Gender and Technology in Education · Impact of Technology on Adolescents · Psychology · Social Media and Politics · Social Psychology

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Obras citantes distintas10
Citas por año0,67
Intervalo de citas2011 - 2025 (15)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 8
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