Abstract

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.

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