KredibleNet - Building a research community and proposing a research agenda for the study and modeling of reputation and authority across informal knowledge markets

在线社交媒体越来越多地在塑造公众舆论方面发挥着关键作用，但很少有工具可以衡量维基百科（Wikipedia）、YouTube、Facebook和Twitter等平台所支撑的非正式知识市场的贡献者的声誉。该项目将建立一个广泛的多学科社区，由来自社会科学、计算机科学和统计学的专家组成，重点研究社交媒体中的专业知识和声誉，并为该领域的研究开发一种数据密集型方法（KredibleNet）。它将创造社区和能力来设计和构建大规模的数据分析和管理基础设施，以应对理解这些新的知识市场是如何被社会互动和围绕职能角色建立的声誉所塑造的挑战。通过一系列研讨会和在线平台的使用，这个新生的社区将完善作为在线知识组成部分的声誉的概念化、操作化和测量，并为未来的研究方向制定路线图。该团队还将开发和传播用于数据管理、分析和在线声誉数据可视化的工具，并协同设计一个可用于实验的声誉测量网络基础设施平台原型。该平台将包括新的数据管理和分析工具，以便访问来自维基百科、Twitter和YouTube等来源的实时社交媒体数据。由此产生的工具和数据集将使社区具备实验数据密集型分析策略的能力，并更好地理解声誉测量问题的本质。KredibleNet的最终目标是塑造下一代理论和分析策略，以理解知识市场如何受到社会互动和声誉的影响。社区讨论将确保为填补当前概念化和测量差距、数据管理能力和分析工具而开发的基础设施将为工业和科学的所有相关领域提供尽可能多的好处；它们还可能产生新的研究协同效应。将开发的工具将使现有的大型数据库易于分析，使学者和从业者能够解决一系列广泛的问题并获得有价值的见解。这些工具、数据和想法的潜在用户非常广泛，可以扩展到多个学术领域、政策团体和行业合作伙伴。它们将被公开，这样其他人就可以从这个项目的成果中受益，从而开发下一代“信息量表”，帮助未来的信息消费者做出更明智的选择。

Increasingly, online social media are playing a pivotal role in shaping public opinion, but there are few tools available to gauge the reputation of contributors to the informal knowledge marketplace anchored by platforms like Wikipedia, YouTube, Facebook and Twitter. This project will develop a broad multi-disciplinary community of experts from the social sciences, computer sciences, and statistics focusing on researching expertise and reputation in social media and develop a data-intensive approach for research in this area (KredibleNet). It will create the community and capacity to design and build large scale data analysis and management infrastructure to engage the challenge of understanding how these new knowledge markets are shaped by social interactions and reputations built around functional roles. Through a series of workshops and use of an online platform, this nascent community will refine the conceptualization, operationalization and measurement of reputation as a component of online knowledge and create a roadmap for future research directions. The team will also develop and disseminate tools for data management, analysis and visualization of online reputation data and collaboratively design a prototype reputation measurement cyberinfrastructure platform that can be used for experimentation. This platform will include new data management and analysis tools to enable access to live social media data from sources such as Wikipedia, Twitter and YouTube. The resulting tools and dataset will equip the community with the capability to experiment with data-intensive analytic strategies and to better understand the nature of the reputation measurement problem. The ultimate goal of KredibleNet is to shape the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations. The community discussions will ensure that the infrastructure developed to fill the current conceptualization and measurement gaps, data management capabilities and analytic tools will provide as much benefit as possible to all the related fields in industry and the sciences; they will also likely give rise to new research synergies. The tools that will be developed will render the existing large databases amenable to analysis allowing scholars and practitioners to address a broad set of questions and gain valuable insights. The potential users of these tools, data, and ideas are quite widespread extending to multiple scholarly domains, policy communities, and industry partners. They will be made available publicly, so others may benefit from the results of this project to develop the next generation of "information gauges" that can help tomorrow's information consumers make smarter choices.