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

在线社交媒体在塑造公众舆论方面发挥着越来越重要的作用，但几乎没有工具可以衡量维基百科、YouTube、Facebook和Twitter等平台所支撑的非正式知识市场贡献者的声誉。该项目将开发一个广泛的多学科专家社区，来自社会科学，计算机科学和统计学，专注于研究社交媒体的专业知识和声誉，并为该领域的研究开发数据密集型方法（KredibleNet）。它将创建社区和设计和构建大规模数据分析和管理基础设施的能力，以应对理解这些新知识市场如何通过围绕功能角色建立的社会互动和声誉形成的挑战。通过一系列研讨会和使用在线平台，这个新生的社区将完善声誉的概念化，操作化和测量作为在线知识的一个组成部分，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在线声誉数据的数据管理，分析和可视化的工具，并合作设计可用于实验的原型声誉测量网络基础设施平台。该平台将包括新的数据管理和分析工具，以便能够从维基百科、Twitter和YouTube等来源获取实时社交媒体数据。由此产生的工具和数据集将使社区能够试验数据密集型分析策略，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，以了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目前的概念化和测量差距而开发的基础设施、数据管理能力和分析工具将为工业和科学的所有相关领域提供尽可能多的好处;它们也可能产生新的研究协同作用。 将开发的工具将使现有的大型数据库易于分析，使学者和从业人员能够解决一系列广泛的问题，并获得宝贵的见解。这些工具、数据和想法的潜在用户非常广泛，延伸到多个学术领域、政策社区和行业合作伙伴。它们将被公开，因此其他人可以从这个项目的结果中受益，以开发下一代“信息计量器”，帮助明天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.