<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kevin K. Nam</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Lada A. Adamic</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Questions in, Knowledge iN? A study of Naver’s Question Answering Community</style></title><secondary-title><style face="normal" font="default" size="100%">ACM Conference on Human Factors in Computing Systems (CHI’09)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collective help</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">information access</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword><keyword><style  face="normal" font="default" size="100%">Q&amp;A communities</style></keyword><keyword><style  face="normal" font="default" size="100%">QA</style></keyword><keyword><style  face="normal" font="default" size="100%">question-answering</style></keyword><keyword><style  face="normal" font="default" size="100%">social computing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Large general-purposed community question-answering sites are becoming popular as a new venue for generating knowledge and helping users in their information needs. In this paper we analyze the characteristics of knowledge generation and user participation behavior in the largest question-answering online community in South Korea, Naver Knowledge-iN. We collected and analyzed over 2.6 million question/answer pairs from fifteen categories between 2002 and 2007, and have interviewed twenty six users to gain insights into their motivations,roles, usage and expertise. We find altruism, learning, and competency are frequent motivations for top answerers to participate, but that participation is often highly intermittent. Using a simple measure of user performance, we find that higher levels of participation correlate with better performance. We also observe that users are motivated in part through a point system to build a comprehensive knowledge database. These and other insights have significant implications for future knowledge generating online communities.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kevin K. Nam</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Arkose: Reusing Informal Information in Online Communities</style></title><secondary-title><style face="normal" font="default" size="100%">ACM Group 2007 Conference</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Arkose</style></keyword><keyword><style  face="normal" font="default" size="100%">collaborative distillation</style></keyword><keyword><style  face="normal" font="default" size="100%">collective help applications</style></keyword><keyword><style  face="normal" font="default" size="100%">community knowledge</style></keyword><keyword><style  face="normal" font="default" size="100%">design rationale</style></keyword><keyword><style  face="normal" font="default" size="100%">iDiag</style></keyword><keyword><style  face="normal" font="default" size="100%">incremental formalization</style></keyword><keyword><style  face="normal" font="default" size="100%">information access</style></keyword><keyword><style  face="normal" font="default" size="100%">information distillation</style></keyword><keyword><style  face="normal" font="default" size="100%">information organization</style></keyword><keyword><style  face="normal" font="default" size="100%">information reuse</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge communities</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge management</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Online discussions such as a large-scale community brainstorming often end up with an unorganized bramble of ideas and topics that are difficult to reuse. A process of &lt;em&gt;distillation&lt;/em&gt; is needed to boil down a large information space into information that is concise and organized. We take a system-augmented approach to the problem by creating a set of tools with which human editors can collaboratively distill a large amount of informal information.&lt;/p&gt;&lt;p&gt;Two design principles, which we will define as incremental diagenesis and incremental summarization, help editors flexibly distill the informal information. Our system, Arkose, is built as a demonstration of these principles, providing the necessary tools for distillation. These tools include a number of visualization and information retrieval mechanisms, as well as an authoring tool and a navigator for the information space. They support a gradual increase in the order and reusability of the information space and allow various levels of intermediate states of a distillation.&lt;/p&gt;</style></abstract></record></records></xml>