<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michael S. Bernstein</style></author><author><style face="normal" font="default" size="100%">Little, Greg</style></author><author><style face="normal" font="default" size="100%">Miller, Robert C.</style></author><author><style face="normal" font="default" size="100%">Hartmann, Björn</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">David R. Karger</style></author><author><style face="normal" font="default" size="100%">Crowell, David</style></author><author><style face="normal" font="default" size="100%">Panovich, Katrina</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Soylent: A Word Processor with a Crowd Inside</style></title><secondary-title><style face="normal" font="default" size="100%">Commun. ACM</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">crowdsourcing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete-OnlyDOI</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">85–94</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 paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, complex endeavors that span many levels of conceptual and pragmatic activity. Authoring tools offer help with pragmatics, but for higher-level help, writers commonly turn to other people. We thus present Soylent, a word processing interface that enables writers to call on Mechanical Turk workers to shorten, proofread, and otherwise edit parts of their documents on demand. To improve worker quality, we introduce the Find-Fix-Verify crowd programming pattern, which splits tasks into a series of generation and review stages. Evaluation studies demonstrate the feasibility of crowdsourced editing and investigate questions of reliability, cost, wait time, and work time for edits.&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%">Michael S. Bernstein</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Ed H. Chi</style></author><author><style face="normal" font="default" size="100%">Robert C. Miller</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The trouble with social computing systems research</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 2011 annual conference on Human factors in computing systems, extended abstracts  (CHI EA ’11)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">social computing</style></keyword><keyword><style  face="normal" font="default" size="100%">systems research</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%">5/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete-OnlyDOI</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;Social computing has led to an explosion of research in understanding users, and it has the potential to similarly revolutionize systems research. However, the number of papers designing and building new sociotechnical systems has not kept pace. We analyze challenges facing social computing systems research, ranging from misaligned methodological incentives, evaluation expectations, double standards, and relevance compared to industry. We suggest improvements for the community to consider so that we can chart the future of our field.&lt;/p&gt;</style></abstract></record></records></xml>