Temporal patterns of preferences through Wikipedia editing in different languages

TL;DR

This study analyzes a decade of Wikipedia editing across eleven languages to uncover how cultural differences influence editing patterns and rhythms, highlighting the importance of temporal data in cross-cultural analysis.

Contribution

It introduces a combined methodological approach using hierarchical clustering, PCA, and autoencoders to differentiate static and temporal community behaviors in Wikipedia editing.

Findings

Linguistic communities show distinct circadian editing rhythms influenced by culture.

Static and temporal clustering produce different community groupings.

Time is a crucial dimension often overlooked in cross-cultural computational studies.

Abstract

Temporal editing patterns on Wikipedia provide a unique computational lens to explore cultural dynamics across linguistic communities. This study analyses over a decade of editorial activity (2001-2010) across eleven Wikipedia language editions, representing a diverse set of linguistic and cultural communities. We apply hierarchical clustering with dimensionality reduction via PCA and autoencoders to both static (categorical) and temporal dimensions of collective behaviour. Results reveal that linguistic communities exhibit distinct circadian editing rhythms shaped by cultural and societal factors. Crucially, static and temporal clustering yield substantially different community groupings, demonstrating that time is an essential -- and often neglected -- dimension in cross-cultural computational analyses. These findings contribute to our understanding of how cultural identity manifests in large-scale digital trace data, and offer methodological implications for future studies using online platforms as proxies for collective cultural behaviour.