SaTC: CORE: Small: NSF-DST: Understanding Network Structure and Communication for Supporting Information Authenticity

SaTC：核心：小型：NSF-DST：了解支持信息真实性的网络结构和通信

• 批准号: 2343387
• 负责人: Jaideep Srivastava
• 金额: $ 60万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2343387&HistoricalAwards=false
• 关键词: SaTC; CORE; Small; NSF; DST

This project tackles the challenge of helping people who are seeking accurate information, trustworthy advice, and helpful support and services for their personally relevant concerns online. The online information ecosystem is so large and complex, and the threat of scams and inauthentic material is so advanced, that it is sometimes difficult for people to trust what they see online, which in turn is affecting the trustworthiness of critical and longstanding institutions of our society. This project's goal is fundamental research to investigate and construct a framework for ultimately helping people find and share safe, useful, and trustworthy information in cyberspace. The framework will include tools for identifying original sources and authentic information. This project includes investigations of social network information sharing online. The project is studying audience resilience using inoculation theory and leveraging peer networks for authenticity dissemination. The project also includes vulnerability assessment models to identify the most effective labeling measures and the individuals and communities most in need of support of their information needs. The planned framework focuses on utilizing social network structures rather than specific content types. Ultimately, the project aims to enhance the strength of the online information ecosystem by leveraging computational methods and network analysis techniques.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.

该项目解决了帮助人们在线寻求准确信息、值得信赖的建议以及有用的支持和服务来解决个人相关问题的挑战。在线信息生态系统如此庞大和复杂，诈骗和不真实材料的威胁如此严重，以至于人们有时很难相信他们在网上看到的内容，这反过来又影响了我们重要和长期机构的可信度。社会。该项目的目标是进行基础研究，调查和构建一个框架，最终帮助人们在网络空间中查找和共享安全、有用且值得信赖的信息。该框架将包括用于识别原始来源和真实信息的工具。该项目包括对在线社交网络信息共享的调查。该项目正在利用接种理论研究受众的适应力，并利用同伴网络进行真实性传播。该项目还包括脆弱性评估模型，以确定最有效的标签措施以及最需要支持其信息需求的个人和社区。计划的框架侧重于利用社交网络结构而不是特定的内容类型。最终，该项目旨在通过利用计算方法和网络分析技术来增强在线信息生态系统的实力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。