CRII: SaTC: Moderating Effects of Automation on Information Transmission in Social Forums

CRII：SaTC：自动化对社交论坛信息传输的调节作用

• 批准号: 1850014
• 负责人: Jake Williams
• 金额: $ 17.49万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1850014&HistoricalAwards=false
• 关键词: CRII; SaTC; Moderating; Effects; Automation

This project aims to develop and deploy an information veracity evaluation system to support online discourse moderation and human comprehension of online information. Understanding information's nature can help users to identify essential products and services, and even potentially help to inform democratic participation. The project will help individual users navigate an environment where the views of their online peers may be difficult to interpret, or where it may not be clear whether other users are human or covert social bots (e.g., for social engineering to obtain personal information). The research project develops capacities for identifying social bots and evaluating their stances towards claims on forums to underpin a system that will provide automated veracity evaluation of web content and analysis to support forum moderators. These projects will shed light on the use of social bots at affecting reader perceptions of information, bringing awareness to dangers of automation in the infosphere and ultimately, support for vigilance and anticipation of automation attacks. This project aims to produce an open-source, automated social information veracity evaluation system that can support moderation of, and ultimately, user navigation in online discourse environments. This system will be developed with auxiliary foci on detecting social bots and evaluating social support, making it capable of filtering out covert autonomous agents while assessing their roles in the support or denial of content claims. A veracity-annotated dataset of unprecedented size that integrates online content and associated reader commentary with social bot annotations will be extended and enriched with reader support annotations. These will be used to develop machine learning tools that can indicate 1) users' authenticity as human commenters and 2) their stances towards claims, in order to 3) support the evaluation of their discussed content's veracity. A platform and server-to-server applications will be built to support implementation for forum moderation, providing moderators live analytics, alerts, and an interactive visual dashboard, in addition to a public display of summarized results.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.

本项目旨在开发和部署一个信息准确性评估系统，以支持在线话语调节和人类对在线信息的理解。 了解信息的性质可以帮助用户确定基本产品和服务，甚至可能有助于为民主参与提供信息。 该项目将帮助个人用户在一个环境中导航，在这个环境中，他们的在线同行的观点可能很难解释，或者可能不清楚其他用户是人类还是隐蔽的社交机器人（例如，用于社会工程以获取个人信息）。 该研究项目开发了识别社交机器人并评估其对论坛声明的立场的能力，以支持一个系统，该系统将提供对网络内容的自动准确性评估和分析，以支持论坛版主。 这些项目将揭示社交机器人在影响读者对信息的感知方面的使用，提高对信息领域自动化危险的认识，并最终支持对自动化攻击的警惕和预测。该项目旨在开发一个开源的、自动化的社会信息准确性评估系统，该系统可以支持在线话语环境中的用户导航。 该系统将在检测社交机器人和评估社会支持方面进行辅助开发，使其能够过滤出隐蔽的自主代理，同时评估它们在支持或拒绝内容声明方面的作用。 一个规模空前的真实性注释数据集，将在线内容和相关的读者评论与社交机器人注释集成在一起，将通过读者支持注释进行扩展和丰富。 这些将用于开发机器学习工具，可以表明1）用户作为人类评论者的真实性，2）他们对索赔的立场，以便3）支持对其讨论内容的真实性进行评估。 将建立一个平台和服务器到服务器的应用程序，以支持论坛审核的实施，为版主提供实时分析，警报和交互式可视化仪表板，以及公开显示汇总结果。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。