TC: Small: RUI: Trails of Trustworthiness, Understanding and Supporting Quality of Information in Real-Time Streams

TC：小：RUI：可信度、理解和支持实时流中信息质量的轨迹

• 批准号: 1117693
• 负责人: Panagiotis Metaxas
• 金额: $ 49.21万
• 依托单位: Wellesley College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117693&HistoricalAwards=false
• 关键词: TC; Small; RUI; Trails; Trustworthiness

The last decade has seen the tremendous growth of the so-called Social Web and this trend is expected to continue in the years to come. As the distinction between the Web and the Social Web disappears, more and more people turn to them daily for information related to important medical, financial and political decisions. Therefore, there is an indisputable need for reliable information in the online world. In the years to come, there will be an increase in interaction with real-time information channels (R-TICs), such as the instant interaction, commenting and notification systems that every social network is developing . R-TICs will put new stress to human abilities to act under time pressure in making decisions and determine the quality of the information received. Technology can assist acting with confidence, by maintaining a personalized network of trusted sources and understanding the reasons for trust or distrust of information. The overall aim of this research is to lay the foundation of a comprehensive approach to support critical thinking and increase security while maintaining privacy in a trusted cyber-world. It proposes the design and implementation of an application that can maintain trails of trustworthiness for information propagated through Twitter, but is applicable to other R-TICs. When confronted with information that requires fast action, these applications will enable its users to evaluate its provenance, its trustworthiness and the independence of the multiple sources that provide this information. In addition this proposal will develop an online course for undergraduates and high school students that discuss the epistemological questions of knowledge and explains what critical thinking means in our highly interconnected world, interacting regularly with people we may never meet. In all of the phases of this proposal, undergraduates, under-represented minorities and women will be actively involved.The core design envisions the testing of these ideas by developing a personalized Twitter client that keeps privately the trust values of its owner. Trustworthiness of a message received is calculated based on implicit and explicit rules: the user may explicitly mark a message as trustworthy or not, and her decisions affect the trust value of its sender in her personal client; or the system will determine a trust value based on the actions of those who have seen and propagated the message to the user, and whose trust values are already known to the user. Message independence is computed based on content search on Twitter and grouped by the inverse distance of the original senders. Privacy of the client's trust values is enhanced by the separation of the global R-TIC network (Twitter) and the user's trust network (the client). Additional research questions can be answered through the use of simulation and is expected that they will be adopted by the R-TIC operators once they see the benefits of the proposed features.

在过去的十年里，所谓的社交网络取得了巨大的增长，预计这一趋势将在未来几年继续下去。随着网络和社交网络之间的区别消失，越来越多的人每天都会转向它们获取与重要的医疗，财务和政治决策相关的信息。因此，在网络世界中对可靠信息的需求是无可争议的。在未来几年，与实时信息渠道（R-TIC）的互动将会增加，例如每个社交网络都在开发的即时互动，评论和通知系统。 R-TIC将对人类在时间压力下做出决策和确定所接收信息质量的能力施加新的压力。 技术可以通过维护可信来源的个性化网络和了解信任或不信任信息的原因来帮助自信地采取行动。这项研究的总体目标是为支持批判性思维和提高安全性的综合方法奠定基础，同时在可信的网络世界中维护隐私。它提出了一个应用程序的设计和实现，可以保持通过Twitter传播的信息的可信度跟踪，但适用于其他R-TIC。当遇到需要迅速采取行动的信息时，这些应用程序将使其用户能够评估其出处、可信度以及提供这一信息的多个来源的独立性。此外，该提案将为本科生和高中生开发一门在线课程，讨论知识的认识论问题，并解释批判性思维在我们高度互联的世界中意味着什么，定期与我们可能从未见过的人互动。在这个提案的所有阶段，大学生、代表性不足的少数民族和妇女都将积极参与。核心设计设想通过开发一个个性化的Twitter客户端来测试这些想法，该客户端将保持其所有者的信任价值观。接收到的消息的可信度是基于隐式和显式规则计算的：用户可以显式地将消息标记为可信或不可信，并且她的决定影响其发送者在她的个人客户端中的信任值;或者系统将基于那些已经看到并向用户传播消息的人的行为来确定信任值，并且其信任值已经为用户所知。消息独立性是基于Twitter上的内容搜索计算的，并按原始搜索结果的倒数距离进行分组。通过将全球R-TIC网络（Twitter）和用户的信任网络（客户端）分离，增强了客户端信任值的隐私性。其他的研究问题可以通过使用模拟来回答，预计一旦R-TIC运营商看到所提出的功能的好处，他们将采用这些问题。