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

HCC：大型：协作研究：支持知识社会生产的信息网络设计原则

• 批准号: 0910664
• 负责人: Jon Kleinberg
• 金额: $ 263.19万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-15 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910664&HistoricalAwards=false
• 关键词: HCC; Large; Collaborative; Research; 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.

该项目寻求为社交计算应用程序制定设计原则，在这些应用程序中，知识是由大量松散协调的群体产生的。这项研究将由一个跨学科小组进行，该小组将计算机和信息科学的专门知识与社会科学结合起来；所有这些领域的观点将对开发下一代互联网上的大型协作信息系统至关重要。研究的一个特别重点将是在这些环境中影响信息和讨论质量的现象，包括欺骗和导致两极分化的意见动态的种类。这项研究将利用涉及社会互动和社会网络活动的大规模数据集的新调查风格，为理解此类现象提供新的分析技术和计算模型。在此基础上，这项研究还将制定设计原则(基于智能任务路由和有目的的游戏的想法)，使社交计算应用程序的创建者能够在存在复杂的潜在社会现象的情况下为特定结果进行设计。该项目的动机是知识的产生和共享方式正在发生深刻变化；特别是它以一种自下而上的方式出现在基本上是自组织在线的全球社交网络中。这带来了深刻的挑战：在很大一部分美国人首先从互联网上获取政治、卫生、商业和教育信息的时候，公众和研究界对于如何处理网上的欺骗和错误信息，或者如何防止网上社区陷入冲突和两极分化，仍然知之甚少。通过对设计原则和这些挑战的关注，该项目将试图创造更有效的在线话语和知识生产手段。