A methodological pipeline audits encyclopedic attention using Wikipedia pageviews and Wikidata reverse expansion.
Daily English Wikipedia pageviews offer a public and reproducible trace of article access, used here as a weak proxy for encyclopedic attention. This paper presents a methodological pipeline for moving from an event to a closed group of Wikipedia articles, from that group to a time-windowed pageview distribution, and from the observed distribution to a semantic and editorial audit. The operational index, Race%, is defined as the share of cumulative group views received by an article: the discrete area under its daily pageview curve divided by the total area for the group.The contribution lies in the pipeline rather than in a universal ranking metric. The method combines forward perimeter design, pageview aggregation, Wikidata-based reverse expansion, leak auditing, and retro-pedagogical interpretation. A small set of cases in sport, mathematics, television culture, artificial intelligence, software infrastructure, and politics illustrates how the approach can be applied across heterogeneous domains. Numerical claims are deliberately limited to audited data or to values explicitly labeled as provisional. The Gus Fring case, involving a character shared by Breaking Bad and Better Call Saul, is used as a minimal attribution framework for non-bijective relations between events and article traffic. The paper closes by discussing benefits, limitations, reproducibility requirements, and possible encyclopedic interventions, including hubs, redirects, cross-links, and re-measurement.
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Benoît Prieur (2026) studied this question.
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