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Ecology of the digital world of Wikipedia

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...

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Autores principales: Ogushi, Fumiko, Kertész, János, Kaski, Kimmo, Shimada, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443573/
https://www.ncbi.nlm.nih.gov/pubmed/34526557
http://dx.doi.org/10.1038/s41598-021-97755-w
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author Ogushi, Fumiko
Kertész, János
Kaski, Kimmo
Shimada, Takashi
author_facet Ogushi, Fumiko
Kertész, János
Kaski, Kimmo
Shimada, Takashi
author_sort Ogushi, Fumiko
collection PubMed
description 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.
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spelling pubmed-84435732021-09-20 Ecology of the digital world of Wikipedia Ogushi, Fumiko Kertész, János Kaski, Kimmo Shimada, Takashi Sci Rep Article 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. Nature Publishing Group UK 2021-09-15 /pmc/articles/PMC8443573/ /pubmed/34526557 http://dx.doi.org/10.1038/s41598-021-97755-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ogushi, Fumiko
Kertész, János
Kaski, Kimmo
Shimada, Takashi
Ecology of the digital world of Wikipedia
title Ecology of the digital world of Wikipedia
title_full Ecology of the digital world of Wikipedia
title_fullStr Ecology of the digital world of Wikipedia
title_full_unstemmed Ecology of the digital world of Wikipedia
title_short Ecology of the digital world of Wikipedia
title_sort ecology of the digital world of wikipedia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443573/
https://www.ncbi.nlm.nih.gov/pubmed/34526557
http://dx.doi.org/10.1038/s41598-021-97755-w
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