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“I updated the <ref>”: The evolution of references in the English Wikipedia and the implications for altmetrics
Author(s) -
Olga Zagovora,
Roberto Ulloa,
Katrin Weller,
Fabian Flöck
Publication year - 2021
Publication title -
quantitative science studies
Language(s) - English
Resource type - Journals
ISSN - 2641-3337
DOI - 10.1162/qss_a_00171
Subject(s) - altmetrics , computer science , set (abstract data type) , relevance (law) , identifier , information retrieval , data set , quality (philosophy) , data science , world wide web , artificial intelligence , law , philosophy , epistemology , political science , programming language
With this work, we present a publicly available data set of the history of all the references (more than 55 million) ever used in the English Wikipedia until June 2019. We have applied a new method for identifying and monitoring references in Wikipedia, so that for each reference we can provide data about associated actions: creation, modifications, deletions, and reinsertions. The high accuracy of this method and the resulting data set was confirmed via a comprehensive crowdworker labeling campaign. We use the data set to study the temporal evolution of Wikipedia references as well as users’ editing behavior. We find evidence of a mostly productive and continuous effort to improve the quality of references: There is a persistent increase of reference and document identifiers (DOI, PubMedID, PMC, ISBN, ISSN, ArXiv ID) and most of the reference curation work is done by registered humans (not bots or anonymous editors). We conclude that the evolution of Wikipedia references, including the dynamics of the community processes that tend to them, should be leveraged in the design of relevance indexes for altmetrics, and our data set can be pivotal for such an effort.

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