Collaborative Research: HCC: Large: Design Principles for Information Networks Supporting the Social Production of Knowledge

合作研究：HCC：大型：支持社会知识生产的信息网络设计原则

• 批准号: 0910453
• 负责人: Luis von Ahn
• 金额: $ 37.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-15 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910453&HistoricalAwards=false
• 关键词: Collaborative; Research; HCC; Large; Design

The project seeks to develop design principles for social computing applications in which knowledge is produced by large, loosely coordinated groups of people. The research will be carried out by an inter-disciplinary team that brings together expertise from computing and information science with the social sciences; perspectives from all of these areas will be crucial to developing the next generation of large-scale collaborative information systems on the Internet. A particular focus of the research will be on phenomena that affect the quality of information and discussion in these settings, including deception and the kinds of opinion dynamics that lead to polarization. The research will offer new analysis techniques and computational models for understanding such phenomena, drawing on novel styles of investigation involving large-scale datasets of social interaction and social network activity. Building on this, the research will also formulate design principles (based on ideas from intelligent task routing and games with a purpose) to enable creators of social computing applications to design for particular outcomes in the presence of complex underlying social phenomena.The project is motivated by a profound transformation taking place in the way knowledge is produced and shared; in particular, the way it emerges in a "bottom-up" manner from global social networks that largely self-organize online. This raises profound challenges: at a time when a large proportion of Americans turn first to Internet sources for information about politics, health, commerce, and education, there is still very little understanding among the public as well as within the research community of how to deal with deception and misinformation online, or how to prevent online communities from falling into conflict and polarization. Through its focus on design principles and on these challenges, the project will attempt to create more effective means of online discourse and knowledge production.

该项目旨在为社会计算应用程序制定设计原则，其中知识是由大型，宽松的人群产生的。 这项研究将由一个跨学科团队进行，该团队将计算和信息科学与社会科学的专业知识汇集在一起​​；所有这些领域的观点对于在互联网上开发下一代大规模的协作信息系统至关重要。 研究的一个特殊重点将放在影响这些环境中信息和讨论质量的现象上，包括欺骗和导致两极分化的舆论动态。 该研究将提供新的分析技术和计算模型，以理解这种现象，并利用涉及社交互动和社交网络活动的大规模数据集的新型调查方式。 在此基础上，该研究还将制定设计原理（基于智能任务路由和具有目的的游戏的想法），以使社交计算应用程序的创建者能够在存在复杂的基础社会现象的存在的情况下为特定结果设计。该项目是由在知识中产生和共享的深刻转变而进行的深刻转变；特别是，它以在很大程度上在线自我组织的全球社交网络的“自下而上”方式出现的方式。 这引起了深远的挑战：在大部分美国人首先转向互联网来源以获取有关政治，健康，贸易和教育的信息时，公众之间以及研究社区中如何在网上处理欺骗和错误信息，或者如何阻止在线社区陷入冲突和极限化。 通过关注设计原则和这些挑战，该项目将试图创造更有效的在线话语和知识生产的手段。