Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Talk Before You Type: Coordination in Wikipedia
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
Scaling Consensus: Increasing Decentralization in Wikipedia Governance
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Wikipedians are born, not made: a study of power editors on Wikipedia
Proceedings of the ACM 2009 international conference on Supporting group work
Decentralization in Wikipedia Governance
Journal of Management Information Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring author contributions to the Wikipedia
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Collaborative sensemaking during admin permission granting in wikipedia
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
Participation in Wikipedia's article deletion processes
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Social mechanism of granting trust basing on polish wikipedia requests for adminship
SocInfo'11 Proceedings of the Third international conference on Social informatics
Using edit sessions to measure participation in wikipedia
Proceedings of the 2013 conference on Computer supported cooperative work
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As Wikipedia grows, so do the messy byproducts of collaboration. Backlogs of administrative work are increasing, suggesting the need for more users with privileged admin status. This paper presents a model of editors who have successfully passed the peer review process to become admins. The lightweight model is based on behavioral metadata and comments, and does not require any page text. It demonstrates that the Wikipedia community has shifted in the last two years to prioritizing policymaking and organization experience over simple article-level coordination, and mere edit count does not lead to adminship. The model can be applied as an "AdminFinderBot" to automatically search all editors' histories and pick out likely future admins, as a self-evaluation tool, or as a dashboard of relevant statistics for voters evaluating admin candidates.