<?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%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Jack Muramatsu</style></author><author><style face="normal" font="default" size="100%">McDonald, David W.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Social Regulation in an Online Game: Uncovering the Problematics of Code</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 16th ACM international conference on Supporting group work (GROUP’10)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">code</style></keyword><keyword><style  face="normal" font="default" size="100%">ethnography</style></keyword><keyword><style  face="normal" font="default" size="100%">games</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword><keyword><style  face="normal" font="default" size="100%">police</style></keyword><keyword><style  face="normal" font="default" size="100%">social computing</style></keyword><keyword><style  face="normal" font="default" size="100%">social control</style></keyword><keyword><style  face="normal" font="default" size="100%">social interaction</style></keyword><keyword><style  face="normal" font="default" size="100%">social life</style></keyword><keyword><style  face="normal" font="default" size="100%">social regulation</style></keyword><keyword><style  face="normal" font="default" size="100%">socio-technical design</style></keyword><keyword><style  face="normal" font="default" size="100%">software infrastructure</style></keyword><keyword><style  face="normal" font="default" size="100%">user study</style></keyword><keyword><style  face="normal" font="default" size="100%">virtual communities</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%">11/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><isbn><style face="normal" font="default" size="100%">978-1-4503-0387-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;More and more interaction is becoming code-based. Indeed, in online worlds, it is all there is. If software is providing a new basis for social interaction, then changing the infrastructure of interaction may necessarily change social interaction in important ways. As such, it is critical to understand the implications of code - we want to know what the use of code means for socio-technical design. In this paper, based on an ethnographic study of an online game, we examine social regulation in an online game world as a case study of socio-technical design using code. We wanted to know how changing interaction based in code conditioned use in our site. We found that code changed social regulation in three specific ways. First, code made some user actions that were socially unwanted to be immediately visible. Second, code could prevent some actions from occurring or punish users immediately. Finally, software was not able to see all action. Some user actions were too nuanced or subtle for code to catch; others were too ambiguous to place into code. Following Agre, we argue i that a &quot;grammar of action&quot; resulting from the use of code limits the kinds of behaviors that can be seen and dealt with. These findings suggest that there is more than just a gap between the social world and technical capabilities. There are new possibilities, tradeoffs, and limitations that must be considered in socio-technical design, and all come simultaneously.&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%">McDonald, David W.</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%">Expertise Recommender: A Flexible Recommendation System and Architecture</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work (CSCW&#039;00)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collaborative filtering</style></keyword><keyword><style  face="normal" font="default" size="100%">expert locators</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%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">information seeking</style></keyword><keyword><style  face="normal" font="default" size="100%">recommendation systems</style></keyword><keyword><style  face="normal" font="default" size="100%">software architecture</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2000</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%">231–240</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Locating the expertise necessary to solve difficult problems is a nuanced social and collaborative problem. In organizations, some people assist others in locating expertise by making referrals. People who make referrals fill key organizational roles that have been identified by CSCW and affiliated research. Expertise locating systems are not designed to replace people who fill these key organizational roles. Instead, expertise locating systems attempt to decrease workload and support people who have no other options. Recommendation systems are collaborative software that can be applied to expertise locating. This work describes a general recommendation architecture that is grounded in a field study of expertise locating. Our expertise recommendation system details the work necessary to fit expertise recommendation to a work setting. The architecture and implementation begin to tease apart the technical aspects of providing good recommendations from social and collaborative concerns.&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%">McDonald, David W.</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%">Just Talk to Me: A Field Study of Expertise Location</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 1998 ACM Conference on Computer Supported Cooperative Work (CSCW&#039;98)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bug reporting</style></keyword><keyword><style  face="normal" font="default" size="100%">CMC</style></keyword><keyword><style  face="normal" font="default" size="100%">computer mediated communications</style></keyword><keyword><style  face="normal" font="default" size="100%">expert locators</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%">expertise networks</style></keyword><keyword><style  face="normal" font="default" size="100%">expertise sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">information seeking</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge networks</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge sharing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/1998</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%">315–324</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Everyday, people in organizations must solve their problems to get their work accomplished. To do so, they often must find others with knowledge and information. Systems that assist users with finding such expertise are increasingly interesting to organizations and scientific communities. But, as we begin to design and construct such systems, it is important to determine what we are attempting to augment. Accordingly, we conducted a five-month field study of a medium-sized software firm. We found the participants use complex, iterative behaviors to minimize the number of possible expertise sources, while at the same time, provide a high possibility of garnering the necessary expertise. We briefly consider the design implications of the identification, selection, and escalation behaviors found during our field study.&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%">McDonald, David W.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Answer Garden 2: Merging Organizational Memory with Collaborative Help</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 1996 ACM Conference on Computer Supported Cooperative Work (CSCW&#039;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%">community memory</style></keyword><keyword><style  face="normal" font="default" size="100%">computer-mediated communications</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%">help</style></keyword><keyword><style  face="normal" font="default" size="100%">information access</style></keyword><keyword><style  face="normal" font="default" size="100%">information refining</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%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/1996</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%">97–105</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This research examines a collaborative solution to a common problem, that of providing help to distributed users. The Answer Garden 2 system provides a secondgeneration architecture for organizational and community memory applications. After describing the need for Answer Garden 2’s functionality, we describe the architecture of the system and two underlying systems, the Cafe ConstructionKit and Collaborative Refinery. We also present detailed descriptions of the collaborative help and collaborative refining facilities in the Answer Garden 2 system&lt;/p&gt;</style></abstract></record></records></xml>