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social information seeking
Social information seeking (SIS) is a field of research that involves studying situations, motivations, and methods for people seeking and sharing information in participatory online social sites, such as Yahoo! Answers, Answerbag, WikiAnswers and Twitter as well as building systems for supporting such activities. Highly related topics involve traditional and virtual reference services, information retrieval, information extraction, and knowledge representation.
==Background==
Social information seeking is often materialized in online question-answering (QA) websites, which are driven by a community. Such QA sites have emerged in the past few years as an enormous market, so to speak, for the fulfillment of information needs. Estimates of the volume of questions answered are difficult to come by, but it is likely that the number of questions answered on social/community QA (cQA) sites far exceeds the number of questions answered by library reference services,〔Janes, J. (2003). The Global Census of Digital Reference. In 5th Annual VRD Conference. San Antonio, TX.〕 which until recently were one of the few institutional sources for such question answering. cQA sites make their content – questions and associated answers submitted on the site – available on the open web, and indexable by search engines, thus enabling web users to find answers provided for previously asked questions in response to new queries.
The popularity of such sites have been increasing dramatically for the past several years. Major sites that provide a general platform for questions of all types include Yahoo! Answers, Answerbag and Quora. While other sites that focus on particular fields; for example, StackOverflow (computing). StackOverflow has 3.45 million questions, 1.3 million users and over 6.86 million answers since July 2008 while Quora has 437 thousand questions, 264 thousand users and 979 thousand answers.〔Wang, G., Gill, K., Mohanlal, M., Zheng, H., & Zhao, B. Y. (2013, May). Wisdom in the social crowd: an analysis of quora. In Proceedings of the 22nd international conference on World Wide Web (pp. 1341-1352). International World Wide Web Conferences Steering Committee〕
Social Q&A or cQA, according to Shah et al.,〔Shah, C., Oh, S., & Oh, J-S. (2009). Research Agenda for Social Q&A. Library and Information Science Research, 11(4), 205-209.〕 consists of three components: a mechanism for users to submit questions in natural language, a venue for users to submit answers to questions, and a community built around this exchange. Viewed in that light, online communities have performed a question answering function perhaps since the advent of Usenet and Bulletin Board Systems, so in one sense cQA is nothing new. Websites dedicated to cQA, however, have emerged on the web only within the past few years: the first cQA site was the Korean Naver Knowledge iN, launched in 2002, while the first English-language CQA site was Answerbag, launched in April 2003. Despite this short history, however, cQA has already attracted a great deal of attention from researchers investigating information seeking behaviors,〔Kim, S., Oh, J-S., & Oh, S. (2007). Best-Answer Selection Criteria in a Social Q&A site from the User Oriented Relevance Perspective. Proceeding of the 70th Annual Meeting of the American Society for Information Science and Technology (ASIST ‘07), 44.〕 selection of resources,〔Harper, M. F., Raban, D. R., Rafaeli, S., & Konstan, J. K. (2008). Predictors of answer quality in online Q&A sites. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems (pp. 865−874). New York: ACM.〕 social annotations,〔Gazan, R. (2008). Social annotations in digital library collections. D-Lib Magazine, 11/12(14). Available from http://www.dlib.org/dlib/november08/gazan/11gazan.html.〕 user motivations,〔Shah, C., Oh, J. S., & Oh, S. (2008). Exploring characteristics and effects of user participation in online social Q&A sites. First Monday, 13(9). Available from http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2182/2028.〕 comparisons with other types of question answering services,〔Su, Q., Pavlov, D., Chow, J., & Baker, W. (2007). Internet-scale collection of human- reviewed data. In C. L. Williamson, M. E. Zurko, P. E. Patel-Schneider, & P. J. Shenoy (Eds.), Proceedings of the 16th International Conference on World Wide Web (pp. 231−240). New York: ACM.〕 and a range of other information-related behaviors.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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