Understanding open collaboration of wikipedia good articles

Huichen Chou, Donghui Lin, Toru Ishida, Naomi Yamashita

研究成果: Conference contribution

抜粋

Contents created by open collaboration online is an important knowledge source to the modern society nowadays. Wikipedia is a prime example which can match the quality of professional encyclopedias. Yet the percentage good quality articles are low. So how different sized teams yield similar quality work is unclear such as articles of the same Wikipedia category. By identifying different editors and studying the collaboration with the work process of Wikipedia Good Articles (GAs), one can understand how different teams create quality work in open collaboration online. To distinguish editors, this research denotes their editing activity categories and subject the editing activities to factor analysis to obtain editor characteristics in the form of quantitative scores. Then we study the collaboration by investigating editors’ engagement in the work creation process along with the article size changes. The result shows the GAs creation are largely done by editors of high scored in content-shaping characteristic. In a short period prior to GA nomination, these editors suddenly appear to work and increases the article’s size to the completed GA level. Editors without dominate editor characteristics are causing the differences in team size. This research contributes to propose a new method to understand how open collaboration creates quality work and the method can easily extend to study more Wikipedia article categories. Last, the research result implies quality work can be assured by expert to work at the end of the creation process in the open collaboration.

元の言語English
ホスト出版物のタイトルSocial Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing - 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
編集者Gabriele Meiselwitz
出版者Springer
ページ29-43
ページ数15
ISBN(印刷物)9783030495756
DOI
出版物ステータスPublished - 2020
イベント12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
継続期間: 2020 7 192020 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12195 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Denmark
Copenhagen
期間20/7/1920/7/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Chou, H., Lin, D., Ishida, T., & Yamashita, N. (2020). Understanding open collaboration of wikipedia good articles. : G. Meiselwitz (版), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing - 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings (pp. 29-43). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 12195 LNCS). Springer. https://doi.org/10.1007/978-3-030-49576-3_3