EAGER: SaTC: Early-Stage Interdisciplinary Collaboration: Designing Trustworthy and Transparent Information Platforms

透明度被定义为对信息创造和报告过程的开放，是拥有在线存在的信息机构与公民重新建立联系并建立其合法性的一种方式。本研究将进行一系列的设计调查，以阐明透明度的关键新现象，以重建公众对这样一个信息机构-新闻组织的信任。将大众传播研究与以人为中心的计算相结合，本研究将采用一种新颖的跨学科方法来回答以下问题。在线信息平台如何有效地将透明度作为增加信任的一种手段？新闻机构如何有效地向公众展示使新闻可信的主要特征以及控制新闻报道的生产和报道的核心方面？研究将分三个阶段进行。首先要理解当前在线新闻生产和消费的可信度。第1阶段将产生一个丰富的描述，描述什么构成了在线可信的信息，并告知开发一个全新的、具有变革性的透明度工件类。在第二阶段，该项目将采用通信研究的理论，并结合计算领域的数据挖掘和基于自然语言的技术，构建突出新闻报道关键方面的透明度特征。具体来说，它将探讨两类透明度工具：披露和参与。披露透明度将围绕新闻报道传达生产、框架和新闻标准。参与式透明旨在通过两个基于渠道的交互功能：评论功能和悬停查看附加信息，让用户参与到新闻周期中。最后，第三阶段包括通过实验进行界面评估，随后是与在线新闻系统的两个主要利益相关者（记者和新闻读者）进行参与式设计研讨会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Defined as openness to the information creation and reporting process, transparency is a way for information institutions that have an online presence to reconnect with citizens and establish their legitimacy. This research will conduct a series of design investigations to illuminate the critical new phenomenon of transparency to rebuild public trust in one such information institution--journalistic organizations. Marrying mass communications research with human-centered computing, this research will take a novel interdisciplinary approach to answer the following questions. How can online information platforms effectively embrace the ideal of transparency as a means to increase trust? How can news organizations effectively demonstrate to the public the primary features that make a story trustworthy and the core aspects that govern the production and reporting of a news story? The research will be conducted along three phases. The first involves understanding the current practices of online news production and consumption with respect to trustworthiness. Phase 1 will result in a rich description of what constitutes trustworthy information online and inform the development of a brand new, transformative class of transparency artifacts. In the second phase, this project will appropriate theories from Communications research and combine with data mining and natural language-based techniques from the Computing field, to build transparency features highlighting key aspects of news reporting. Specifically, it will explore two classes of transparency tools: disclosure and participatory. Disclosure transparency will communicate the production, framing, and journalistic standards around news reports. Participatory transparency will aim at getting users involved in the news cycle through two channel-based interactive features: commenting capability and hovering to see additional information. Finally, phase 3 includes interface evaluations via experiments followed by participatory design workshops with the two primary stakeholders of an online news system--journalists and news readers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.