Ecology of the digital world of Wikipedia
Abstract 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 j...
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Nature Portfolio
2021
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oai:doaj.org-article:80dc1a3042c744cc97c90c4e295af97d2021-12-02T15:15:59ZEcology of the digital world of Wikipedia10.1038/s41598-021-97755-w2045-2322https://doaj.org/article/80dc1a3042c744cc97c90c4e295af97d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97755-whttps://doaj.org/toc/2045-2322Abstract 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.Fumiko OgushiJános KertészKimmo KaskiTakashi ShimadaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q Fumiko Ogushi János Kertész Kimmo Kaski Takashi Shimada Ecology of the digital world of Wikipedia |
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Abstract 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. |
format |
article |
author |
Fumiko Ogushi János Kertész Kimmo Kaski Takashi Shimada |
author_facet |
Fumiko Ogushi János Kertész Kimmo Kaski Takashi Shimada |
author_sort |
Fumiko Ogushi |
title |
Ecology of the digital world of Wikipedia |
title_short |
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_sort |
ecology of the digital world of wikipedia |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/80dc1a3042c744cc97c90c4e295af97d |
work_keys_str_mv |
AT fumikoogushi ecologyofthedigitalworldofwikipedia AT janoskertesz ecologyofthedigitalworldofwikipedia AT kimmokaski ecologyofthedigitalworldofwikipedia AT takashishimada ecologyofthedigitalworldofwikipedia |
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1718387517115334656 |