Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Usage patterns of collaborative tagging systems
Journal of Information Science
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining Domain-Specific Thesauri from Wikipedia: A Case Study
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
Community, consensus, coercion, control: cs*w or how policy mediates mass participation
Proceedings of the 2007 international ACM conference on Supporting group work
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
On ranking controversies in wikipedia: models and evaluation
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Information extraction from Wikipedia: moving down the long tail
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
"edit this page": the socio-technological infrastructure of a wikipedia article
Proceedings of the 27th ACM international conference on Design of communication
The effects of group composition on decision quality in a social production community
Proceedings of the 16th ACM international conference on Supporting group work
Social capital increases efficiency of collaboration among Wikipedia editors
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Building a standpoints web to support decision-making in wikipedia
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Proceedings of the 2013 conference on Computer supported cooperative work
Deletion discussions in Wikipedia: decision factors and outcomes
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Alternative interfaces for deletion discussions in Wikipedia: some proposals using decision factors
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
The consensus game: modeling peer decision protocols
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Proceedings of the 9th International Symposium on Open Collaboration
Towards a diversity-minded Wikipedia
Proceedings of the 3rd International Web Science Conference
Improving Wiki Article Quality Through Crowd Coordination: A Resource Allocation Approach
International Journal on Semantic Web & Information Systems
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Wikipedia has millions of articles, many of which receive little attention. One group of Wikipedians believes these obscure entries should be removed because they are uninteresting and neglected; these are the deletionists. Other Wikipedians disagree, arguing that this long tail of articles is precisely Wikipedia's advantage over other encyclopedias; these are the inclusionists. This paper looks at two overarching questions on the debate between deletionists and inclusionists: (1) What are the implications to the long tail of the evolving standards for article birth and death? (2) How is viewership affected by the decreasing notability of articles in the long tail? The answers to five detailed research questions that are inspired by these overarching questions should help better frame this debate and provide insight into how Wikipedia is evolving.