Ecology of the digital world of Wikipedia.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 09 2021
Historique:
received: 19 05 2021
accepted: 27 08 2021
entrez: 16 9 2021
pubmed: 17 9 2021
medline: 17 9 2021
Statut: epublish

Résumé

Wikipedia, a paradigmatic example of online knowledge space is organized in a collaborative, bottom-up way with voluntary contributions, yet it maintains a level of reliability comparable to that of traditional encyclopedias. The lack of selected professional writers and editors makes the judgement about quality and trustworthiness of the articles a real challenge. Here we show that a self-consistent metrics for the network defined by the edit records captures well the character of editors' activity and the articles' level of complexity. Using our metrics, one can better identify the human-labeled high-quality articles, e.g., "featured" ones, and differentiate them from the popular and controversial articles. Furthermore, the dynamics of the editor-article system is also well captured by the metrics, revealing the evolutionary pathways of articles and diverse roles of editors. We demonstrate that the collective effort of the editors indeed drives to the direction of article improvement.

Identifiants

pubmed: 34526557
doi: 10.1038/s41598-021-97755-w
pii: 10.1038/s41598-021-97755-w
pmc: PMC8443573
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

18371

Informations de copyright

© 2021. The Author(s).

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Auteurs

Fumiko Ogushi (F)

Center for Mathematical Modeling and Data Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan.

János Kertész (J)

Department of Network and Data Science, Central European University, Quellenstrasse 51, 1100, Vienna, Austria.

Kimmo Kaski (K)

Department of Computer Science, Aalto University School of Science, P. O. Box 15500, Espoo, Finland.
The Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK.

Takashi Shimada (T)

Mathematics and Informatics Center, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan. shimada@sys.t.u-tokyo.ac.jp.
Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan. shimada@sys.t.u-tokyo.ac.jp.

Classifications MeSH