Cultural determinants of participation in Wikipedia: a global analysis of the digital commons

This article identifies cultural factors influencing participation in large-scale knowledge-sharing systems, focusing on Wikipedia. Previous studies have typically examined either a limited number of Wikipedia language editions or a limited set of cultural dimensions. We address this gap by analyzing 58 language editions using two macro-level models of culture: Inglehart and Welzel’s two-dimensional cultural map and Hofstede’s six-dimensional model. We investigate whether cultural factors can explain differences in participation across cultural-linguistic clusters and, more broadly, engagement in collective intelligence projects constituting large-scale digital commons production. Multiple linear regression models examine cultural dimensions, HDI, Internet penetration, and the ratio of active contributors per million population. Across the models, cultural variables—particularly Inglehart–Welzel’s self-expression dimension and Hofstede’s individualism–collectivism—emerge as the most consistent predictors of participation, whereas development-related variables such as Internet penetration show more limited or model-dependent effects. The findings suggest that cultural differences may be more important for engagement in digital commons projects than demographic or economic factors. A key limitation is that Wikipedia language editions may be edited by users from different cultures, making the findings most reliable for less multilingual contexts.

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Publication Details

Journal
Innovation The European Journal of Social Science Research
Published
2026-08-14
DOI
https://doi.org/10.1080/13511610.2026.2694993
Primary Topic
Wikis in Education and Collaboration
Type
article
Field-Weighted Citation Impact
0.00

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article

Cultural determinants of participation in Wikipedia: a global analysis of the digital commons

Sebastian Skolik, Jacob Jeffrey, Piotr Konieczny
Innovation The European Journal of Social Science Research
Wikis in Education and Collaboration
article

Cultural determinants of participation in Wikipedia: a global analysis of the digital commons

Sebastian Skolik, Jacob Jeffrey, Piotr Konieczny
article en

Abstract

This article identifies cultural factors influencing participation in large-scale knowledge-sharing systems, focusing on Wikipedia. Previous studies have typically examined either a limited number of Wikipedia language editions or a limited set of cultural dimensions. We address this gap by analyzing 58 language editions using two macro-level models of culture: Inglehart and Welzel’s two-dimensional cultural map and Hofstede’s six-dimensional model. We investigate whether cultural factors can explain differences in participation across cultural-linguistic clusters and, more broadly, engagement in collective intelligence projects constituting large-scale digital commons production. Multiple linear regression models examine cultural dimensions, HDI, Internet penetration, and the ratio of active contributors per million population. Across the models, cultural variables—particularly Inglehart–Welzel’s self-expression dimension and Hofstede’s individualism–collectivism—emerge as the most consistent predictors of participation, whereas development-related variables such as Internet penetration show more limited or model-dependent effects. The findings suggest that cultural differences may be more important for engagement in digital commons projects than demographic or economic factors. A key limitation is that Wikipedia language editions may be edited by users from different cultures, making the findings most reliable for less multilingual contexts.

Innovation The European Journal of Social Science Research
Częstochowa University of Technology (PL), Hanyang University (KR)
Hanyang University
Openalex Percentile: Top 4%
Wikis in Education and Collaboration
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Cultural determinants of participation in Wikipedia: a global analysis of the digital commons — Sebastian Skolik, Jacob Jeffrey, et al. · Innovation The European Journal of Social Science Research (2026) | TGRS Research Map | TGRS