Designing for Virtual Communities in the Service of Learning
Designing for Virtual Communities in the Service of Learning
Open Source Technical Support: A Look at Peer Help-Giving
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
Encouraging participation in virtual communities
Communications of the ACM - Spam and the ongoing battle for the inbox
Self-organization of teams for free/libre open source software development
Information and Software Technology
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Understanding knowledge sharing activities in free/open source software projects: An empirical study
Journal of Systems and Software
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Mind your Ps and Qs: the impact of politeness and rudeness in online communities
Proceedings of the 2008 ACM conference on Computer supported cooperative work
The confusion of crowds: non-dyadic help interactions
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Questions in, knowledge in?: a study of naver's question answering community
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why users of yahoo!: answers do not answer questions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Motivations to participate in online communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Expert identification in community question answering: exploring question selection bias
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
The polymath project: lessons from a successful online collaboration in mathematics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design lessons from the fastest q&a site in the west
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How do programmers ask and answer questions on the web? (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Early detection of potential experts in question answering communities
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Modeling problem difficulty and expertise in stackoverflow
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Building Successful Online Communities: Evidence-Based Social Design
Building Successful Online Communities: Evidence-Based Social Design
Journal of the American Society for Information Science and Technology
Mining Stack Exchange: Expertise Is Evident from Initial Contributions
SOCIALINFORMATICS '12 Proceedings of the 2012 International Conference on Social Informatics
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In online communities a few experts are able to help a large number of help-seekers -- whether in Q&A communities or other forms of online forums. How is this efficiency achieved? How useful is this help? We show that expert help-giving can be characterized as: (1) Fast -- Most active help-givers gave response promptly and were most responsive during peak activity; (2) Functional -- There was little duplication of help-giving effort; and, (3) Fitting -- Initial responses were of high quality and reduced the need for further clarifications and corrections; high quality responses were provided earlier in the thread. Examination of differences across experts revealed that the most highly rated group of experts responded to 69% of the questions with a median response time of 16 minutes, twice as fast as other experts. Finally, we demonstrate the high quality of response through a taxonomy that characterizes expert responses as: framing, guiding, or engaged help.