Machine Learning
The TREC question answering track
Natural Language Engineering
Internet-scale collection of human-reviewed data
Proceedings of the 16th international conference on World Wide Web
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
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
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Tagging Behaviour in Community-Driven Question Answering
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Design lessons from the fastest q&a site in the west
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modelling user participation in organisations as networks
Expert Systems with Applications: An International Journal
Learning from the past: answering new questions with past answers
Proceedings of the 21st international conference on World Wide Web
Understanding user intent in community question answering
Proceedings of the 21st international conference companion on World Wide Web
International Journal of Healthcare Information Systems and Informatics
Wisdom in the social crowd: an analysis of quora
Proceedings of the 22nd international conference on World Wide Web
Evolutionary optimization for ranking how-to questions based on user-generated contents
Expert Systems with Applications: An International Journal
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Knowledge sharing communities, such as Wikipedia or Yahoo! Answers, add greatly to the wealth of information available on the Web. They represent complex social ecosystems that rely on user paricipation and the quality of users' contributions to prosper. However, quality is harder to achieve when knowledge sharing is facilitated through a high degree of personal interactions. The individuals' objectives may change from knowledge sharing to socializing, with a profound impact on the community and the value it delivers to the broader population of Web users. In this paper we provide new insights into the types of content that is shared through Community Question Answering (CQA) services. We demonstrate an approach that combines in-depth content analysis with social network analysis techniques. We adapted the Undirected Inductive Coding method to analyze samples of user questions and arrive at a comprehensive typology of the user intent. In our analysis we focused on two types of intent, social vs. non-social, and define measures of social engagement to characterize the users' participation and content contributions. Our approach is applicable to a broad class of online communities and can be used to monitor the dynamics of community ecosystems.