<?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%">Wen, Zhen</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><author><style face="normal" font="default" size="100%">Lin, Ching-Yung</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Collaborating Globally: Culture and Organizational Computer-Mediated Communications</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Information Systems (ICIS 2011)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">calendaring</style></keyword><keyword><style  face="normal" font="default" size="100%">computer-mediated communication (CMC)</style></keyword><keyword><style  face="normal" font="default" size="100%">cultural studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Instant Messaging (IM)</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational communication</style></keyword><keyword><style  face="normal" font="default" size="100%">sentiment analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">social interaction</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</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%">12/2011</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;Culture shapes interpersonal communication. However, little is known about how culture interacts with computer-mediated communication (CMC) tools in a business context. We present a large-scale empirical study of cultural differences in computer mediated social interactions in a global company. Our dataset includes 9,000 volunteer users and more than 20 million records of their email and Instant Messaging conversations. We compared social network characteristics, preferences for CMC tools, and expression of sentiment across employees working in seven countries. Significant differences emerged and the patterns are consistent with the inherent cultural characteristics as suggested by cultural theories. In addition, we uncover the complex manner in which culture interacts with preference and use of different communication mediums. The existence of pervasive and complex cultural differences, points to the need to understand and account for such differences in designing cross-cultural collaborative 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%">Zhang, Jun</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><author><style face="normal" font="default" size="100%">Kevin K. Nam</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">QuME: A Mechanism to Support Expertise Finding in Online Help-seeking Communities</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (UIST&#039;07)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cscw</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise finding</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise location</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2007</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%">111–114</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Help-seeking communities have been playing an increasingly critical role in the way people seek and share information. However, traditional help-seeking mechanisms of these online communities have some limitations. In this paper, we describe an expertise-finding mechanism that attempts to alleviate the limitations caused by not knowing users&#039; expertise levels. As a result of using social network data from the online community, this mechanism can automatically infer expertise level. This allows, for example, a question list to be personalized to the user&#039;s expertise level as well as to keyword similarity. We believe this expertise location mechanism will facilitate the development of next generation help-seeking communities.&lt;/p&gt;
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