<?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%">Jiang Yang</style></author><author><style face="normal" font="default" size="100%">Morris, Meredith Ringel</style></author><author><style face="normal" font="default" size="100%">Jaime Teevan</style></author><author><style face="normal" font="default" size="100%">Lada A. Adamic</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%">Culture Matters: A Survey Study of Social Q&amp;A Behavior</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Weblogs and Social Media (ICWSM’11)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collaborative help</style></keyword><keyword><style  face="normal" font="default" size="100%">collective help</style></keyword><keyword><style  face="normal" font="default" size="100%">intercultural</style></keyword><keyword><style  face="normal" font="default" size="100%">QA</style></keyword><keyword><style  face="normal" font="default" size="100%">social search</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2010</style></date></pub-dates></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 social networking tools are used around the world by people to ask questions of their friends, because friends provide direct, reliable, contextualized, and interactive responses. However, although the tools used in different cultures for question asking are often very similar, the way they are used can be very different, reflecting unique inherent cultural characteristics. We present the results of a survey designed to elicit cultural differences in people’s social question asking behaviors across the United States, the United Kingdom, China, and India. The survey received responses from 933 people distributed across the four countries who held similar job roles and were employed by a single organization. Responses included information about the questions they ask via social networking tools, and their motivations for asking and answering questions online. The results reveal culture as a consistently significant factor in predicting people’s social question and answer behavior. The prominent cultural differences we observe might be traced to people’s inherent cultural characteristics (e.g., their cognitive patterns and social orientation), and should be comprehensively considered in designing social search systems.&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><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%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Palen, Leysia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Zephyr Help Instance: Promoting Ongoing Activity in a CSCW System</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI&quot;96)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CMC</style></keyword><keyword><style  face="normal" font="default" size="100%">collaborative help</style></keyword><keyword><style  face="normal" font="default" size="100%">collective help</style></keyword><keyword><style  face="normal" font="default" size="100%">computer-mediated communications</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">electronic social spaces</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">help</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">media spaces</style></keyword><keyword><style  face="normal" font="default" size="100%">norms</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational interfaces</style></keyword><keyword><style  face="normal" font="default" size="100%">social maintenance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">268–275</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;If Computer-Supported Cooperative Work (CSCW) systems are to be successful over time, it will be necessary to promote ongoing and continuing activity, not just initial adoption. In this paper, we consider what technical and social affordances are required to encourage the continued use of a CSCW system. To explore these issues, we examine a chat-like system, the Zephyr Help Instance, which is used extensively at MIT. The Help Instance facilitates users asking questions of one another, and is an example of a distributed help and problem-solving system. We provide an overview of the system’s use as well as those mechanisms, both technical and social, that facilitate continuing its use over time.&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%">Mark S. Ackerman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Augmenting the Organizational Memory: A Field Study of Answer Garden</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work (CSCW&#039;94)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collaborative help</style></keyword><keyword><style  face="normal" font="default" size="100%">collective help</style></keyword><keyword><style  face="normal" font="default" size="100%">corporate memory</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">group memory</style></keyword><keyword><style  face="normal" font="default" size="100%">information access</style></keyword><keyword><style  face="normal" font="default" size="100%">information retrieval</style></keyword><keyword><style  face="normal" font="default" size="100%">information systems</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational memory</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1994</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/1994</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">243–252</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A growing concern for organizations and groups has been to augment their knowledge and expertise. One such augmentation is to provide an organizational memory, some record of the organization&#039;s knowledge. However, relatively little is known about how computer systems might enhance organizational, group, or community memory. This paper presents findings from a field study of one such organizational memory system, the Answer Garden. The paper discusses the usage data and qualitative evaluations from the field study, and then draws a set of lessons for next-generation organizational memory systems.&lt;/p&gt;</style></abstract></record></records></xml>