<?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%">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%">Wen, Zhen</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%">The Way I Talk to You: Sentiment Expression in an Organizational Context</style></title><secondary-title><style face="normal" font="default" size="100%">ACM Conference on Human Factors in Computing Systems (CHI’12)</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%">online communities</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2012</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;Sentiment is a rich and important dimension of social interaction. However, its presence in computer-mediated communication in corporate settings is not well understood. This paper provides a preliminary study of people’s expression of sentiment in email conversations in an organizational context. The study reveals that sentiment levels evolve over time during the process of newcomers’ socialization, that sentiment varies according to tie-strength with the recipient, and that sentiment patterns can be indicative of one’s position in the corporate social network as well as job performance. These findings shed light on the complex and dynamic nature of sentiment patterns, and would inspire further explorations and applications of sentiment analysis in organizations.&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%">Jiang Yang</style></author><author><style face="normal" font="default" size="100%">Wei, Xiao</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%">Activity lifespan: An analysis of user survival patterns in online knowledge sharing communities</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Weblogs and Social Media (ICWSM’10)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">community evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">intercultural</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</style></keyword><keyword><style  face="normal" font="default" size="100%">QA communities</style></keyword><keyword><style  face="normal" font="default" size="100%">survival analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</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;Retaining participation is crucial for information services, online knowledge sharing services among them. We present the first comprehensive analysis of users’ activity lifespan across three predominant online knowledge sharing communities. Extending previous work focusing on initial interactions of new users, we use survival analysis to quantify participation patterns that can be used to predict individual lifespan over the long term. We discuss how cross site differences in user participation and the underlying factors can be related to differences in system design and culture. We conduct a longitudinal comparison of the communities’ evolvement between two distinct stages, the initial days just after the site launch and one year later. We also observe that sub communities corresponding to different topics differ in their ability to sustain users. All results reveal the complexity and diversity in users’ engagement to a site and design implications are discussed.&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%">Jiang Yang</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%">Competing to Share Expertise: The Taskcn Knowledge Sharing Community.</style></title><secondary-title><style face="normal" font="default" size="100%">ICWSM</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">competitions</style></keyword><keyword><style  face="normal" font="default" size="100%">e-commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">marketplaces</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword><keyword><style  face="normal" font="default" size="100%">participation structures</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2008</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;&quot;Witkeys&quot; are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit their answers to compete. The Witkey sites fall in-between aspects of the now-defunct Google Answers (vetted experts answer questions for a fee) and Yahoo Answers (anyone can answer or ask a question). As such, these sites promise new possibilities for knowledge-sharing online communities, perhaps fostering the freelance marketplace of the future. In this paper, we investigate one of the biggest Witkey websites in China, Taskcn.com. In particular, we apply social network prestige measures to a novel construction of user and task networks based on competitive outcomes to discover the underlying properties of both users and tasks. Our results demonstrate the power of this approach: Our analysis allows us to infer relative expertise of the users and provides an understanding of the participation structure in Taskcn. The results suggest challenges and opportunities for this kind of knowledge sharing medium.&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%">Jiang Yang</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%">Crowdsourcing and Knowledge Sharing: Strategic User Behavior on Taskcn</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 9th ACM Conference on Electronic Commerce</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">contests</style></keyword><keyword><style  face="normal" font="default" size="100%">crowdsourcing</style></keyword><keyword><style  face="normal" font="default" size="100%">e-commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge market</style></keyword><keyword><style  face="normal" font="default" size="100%">learning</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword><keyword><style  face="normal" font="default" size="100%">question-answer sites</style></keyword><keyword><style  face="normal" font="default" size="100%">virtual communities</style></keyword><keyword><style  face="normal" font="default" size="100%">witkey</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2008</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pub-location><style face="normal" font="default" size="100%">New York, NY, USA</style></pub-location><pages><style face="normal" font="default" size="100%">246-255</style></pages><isbn><style face="normal" font="default" size="100%">978-1-60558-169-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Witkeys are a thriving type of web-based knowledge sharing market in China, supporting a form of crowdsourcing. In a Witkey site, users offer a small award for a solution to a task, and other users compete to have their solution selected.&lt;/p&gt;&lt;p&gt;In this paper, we examine the behavior of users on one of the biggest Witkey websites in China, Taskcn.com. On Taskcn, we observed several characteristics in users&#039; activity over time. Most users become inactive after only a few submissions. Others keep attempting tasks. Over time, users tend to select tasks where they are competing against fewer opponents to increase their chances of winning. They will also, perhaps counterproductively, select tasks with higher expected rewards. Yet, on average, they do not increase their chances of winning, and in some categories of tasks, their chances actually decrease. This does not paint the full picture, however, because there is a very small core of successful users who manage not only to win multiple tasks, but to increase their win-to-submission ratio over time. This core group proposes nearly 20% of the winning solutions on the site. The patterns we observe on Taskcn, we believe, hold clues to the future of crowdsourcing and freelance marketplaces, and raise interesting design implications for such sites.&lt;/p&gt;</style></abstract></record></records></xml>