Knowledge Sharing and Yahoo Answers: Everyone Knows Something
Yahoo Answers (YA) is a large and diverse question-answer forum, acting not only as a medium for sharing technical knowledge, but as a place where one can seek advice, gather opinions, and satisfy one抯 curiosity about a countless number of things. In this paper, we seek to understand YA抯 knowledge sharing activity. We analyze the forum categories and cluster them according to content characteristics and patterns of interaction among the users. While interactions in some categories resemble expertise sharing forums, others incorporate discussion, everyday advice, and support. With such a diversity of categories in which one can participate, we.nd that some users focus narrowly on speci.c topics, while others participate across categories. This not only allows us to map related categories, but to characterize the entropy of the usersinterests. We.nd that lower entropy correlates with receiving higher answer ratings, but only for categories where factual expertise is primarily sought after. We combine both user attributes and answer characteristics to predict, within a given category, whether a particular answer will be chosen as the best answer by the asker.
Online communities question answering social network analysis expertise finding help seeking knowledge sharing
Lada A. Adamic Jun Zhang Eytan Bakshy Mark S. Ackerman
School of Information,University of Michigan Ann Arbor, MI School of InformationUniversity of Michigan Ann Arbor, MI;Department of EECS,University of Michigan
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）