Assessing the Contribution of Subject-matter Experts to Wikipedia
| Autor: | Einat Minkov, Yiftach Nagar, Alex Yarovoy, Ofer Arazy |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
Organizational architecture Matching (statistics) Learning classifier system Scope (project management) Computer science 05 social sciences General Engineering 02 engineering and technology Data science Knowledge production Subject-matter expert Work (electrical) 020204 information systems 0202 electrical engineering electronic engineering information engineering 0509 other social sciences 050904 information & library sciences |
| Zdroj: | ACM Transactions on Social Computing. 3:1-36 |
| ISSN: | 2469-7826 2469-7818 |
| DOI: | 10.1145/3416853 |
| Popis: | Attempts to explain the success of knowledge co-production communities have focused on organizational design, including structure, motivation, roles, and coordination mechanisms. Meantime, the role that subject-matter-experts play in these knowledge production settings has largely been left in a theoretical and empirical void; its existence has been assumed, but we know little about its nature and scope, as it is difficult to observe. In this article, we start filling that void, using Wikipedia as the setting for our empirical investigation. First, we carefully crossed information from individual Wikipedia editor pages with external sources such as Google Scholar to reliably identify editors who are credentialed experts. Matching these credentialed experts with their Wikipedia editing patterns, we used this dataset to train a machine learning classifier that we then employed to identify additional expert editors and assess the nature and the scope of their work across Wikipedia. Our results suggest that the scope of expert involvement is substantial, albeit with considerable differences across topics. We estimate that approximately 10%--30% of Wikipedia’s contributors have substantial subject-matter expertise in the topics that they edit. We discuss implications for theory and practice of peer-production. |
| Databáze: | OpenAIRE |
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