HCC: Informing Social Translucence with Open Composable Online Reputation Systems

HCC：通过开放的可组合在线声誉系统实现社交半透明

• 批准号: 0811210
• 负责人: Mark Zachry
• 金额: $ 42.95万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0811210&HistoricalAwards=false
• 关键词: HCC; Informing; Social; Translucence; Open

Large, distributed, user-contributed content sites like blogs, web forums, Slashdot and Wikipedia, have significantly changed the character of mass social interaction online. As individuals participate, their actions are visible to other participants. Examining the work of both preparing content and maintaining the community is key to understanding the nature of these systems. Social translucence is a conceptual framework for thinking about how social actions in an online community facilitate future social interaction. Reputation systems, systems that represent the reputation of participants in an online community, have been well studied in the domain of e-commerce. However, theoretical principles or guidelines to designing and developing generalized reputation systems have not emerged. The proposed research will answer four critical questions about the relationship between reputation systems and the existing framework of social translucence: How can social translucence frame the development of reflective social systems? What methods unpack the components of "reputation" to reflect the full range of valued activities in an online community? What technical methods effectively collect, mine or elicit data related to specific dimensions of an individual's reputation? How can systems be built that enable individuals to understand their reputation as it is collected and interpreted by other members of the community? Until recently developing a reputation system to elaborate the framework of social translucence was prohibitively difficult. But the accessibility of large community datasets, like that of Wikipedia, has mitigated one major stumbling block, the availability of data.Intellectual merit: The proposed research will extend social translucence as a framework for the design and development of social and collaborative systems. The ability of developers of distributed contributor communities to build reputation systems that can be appropriated by the community will be illustrated through the use of social translucence. Lastly, these results will develop a situated model of reputation in distributed contributor communities - one that sees a majority of online work activity as part of a community member's reputation.Broader impacts: The primary contribution will be an improvement in the interaction, contribution and sense-making of the ever growing diversity of distributed contributors to online communities. As more people participate in online communities, the level of interaction and trust is limited by the amount of information that participants have about one another. Effectively supporting these communities is an important challenge of social computing. The proposed approach puts socially translucent tools in the hands of the community - those who are in the best position to create, reflect, debate and refine socially translucent representations of behavior.

像博客、网络论坛、Slashdot和维基百科这样的大型、分布式、用户贡献内容的网站，已经显著地改变了大规模在线社交互动的特征。当个人参与时，他们的行为对其他参与者是可见的。检查准备内容和维护社区的工作是理解这些系统本质的关键。社会半透明是一个概念框架，用于思考在线社区中的社会行为如何促进未来的社会互动。声誉系统，代表在线社区参与者声誉的系统，在电子商务领域得到了很好的研究。然而，设计和开发广义声誉系统的理论原则或指导方针尚未出现。提出的研究将回答关于声誉系统与现有社会半透明框架之间关系的四个关键问题：社会半透明如何框架反思性社会系统的发展？有什么方法可以分解“声誉”的组成部分，以反映在线社区中所有有价值的活动？哪些技术方法可以有效地收集、挖掘或引出与个人声誉的特定维度相关的数据？如何建立系统，使个人能够了解他们的声誉，因为它是由社区的其他成员收集和解释的？直到最近，开发一个声誉系统来详细阐述社会透明的框架还是非常困难的。但是，像维基百科这样的大型社区数据集的可访问性减轻了一个主要障碍，即数据的可用性。智力优势：本研究建议将社会半透明扩展为社会和协作系统设计和开发的框架。分布式贡献者社区的开发人员建立可被社区占用的声誉系统的能力将通过使用社会半透明来说明。最后，这些结果将在分布式贡献者社区中建立一个声誉的定位模型——将大多数在线工作活动视为社区成员声誉的一部分。更广泛的影响：主要的贡献将是对在线社区中日益增长的分布式贡献者的互动、贡献和意义的改进。随着越来越多的人参与在线社区，互动和信任的水平受到参与者彼此拥有的信息量的限制。有效地支持这些社区是社会计算的一个重要挑战。所提出的方法将社会透明的工具交到社区手中——那些处于创造、反映、辩论和改进行为的社会透明表示的最佳位置的人。