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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.
Original language | English |
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Article number | 18371 |
Number of pages | 10 |
Journal | Scientific Reports |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 15 Sept 2021 |
MoE publication type | A1 Journal article-refereed |
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Dive into the research topics of 'Ecology of the digital world of Wikipedia'. Together they form a unique fingerprint.Projects
- 1 Finished
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SoBigDataPlusPlus: Integrated Infrastructure for Social Mining and Big Data Analytics
Lampinen, J. (Principal investigator), Roy, C. (Project Member) & Bhattacharya, K. (Project Member)
01/01/2020 → 31/12/2024
Project: EU: Framework programmes funding