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Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data

An analysis of 118 billion hours of human data
Authors: Zendle, D; Flick, C; Halgarth, D; Ballou, NB; Demediuk, S; Drachen, A;

Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data

Abstract

AbstractDespite the prevalence of gaming as a human activity, the literature on playtime is uninformed by large-scale, high-quality data. This has led to an evidence-base in which the existence of specific cultural gaming cultures (e.g. exceptional levels of gaming in East Asian nations) are not well-supported by evidence. Here we address this evidence gap by conducting the world’s first large-scale investigation of cross-cultural differences in mobile gaming via telemetry analysis. Our data cover 118 billion hours of playtime occurring in 214 countries and regions between October 2020 and October 2021. A cluster analysis establishes a data-driven set of cross-cultural groupings that describe differences in how the world plays mobile games. Despite contemporary arguments regarding Asian exceptionalism in terms of playtime, analysis shows that many East Asian countries (e.g., China) were not highly differentiated from most high-GDP Northern European nations across several measures of play. Instead, a range of previously unstudied and highly differentiated cross-cultural clusters emerged from the data and are presented here, showcasing the diversity of global gaming.

Keywords

Cross-Cultural Comparison, Behavior, China, Science, Q, Addictive/epidemiology, R, Mobile Applications, Article, Behavior, Addictive, Video Games, Addictive, Medicine, Humans

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
Green
hybrid