Collaborative Research: SaTC: CORE: Large: Rapid-Response Frameworks for Mitigating Online Disinformation

协作研究：SaTC：核心：大型：减少在线虚假信息的快速响应框架

• 批准号: 2120496
• 负责人: Kate Starbird
• 金额: $ 224.99万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120496&HistoricalAwards=false
• 关键词: Collaborative; Research; SaTC; CORE; Large

Disinformation is a critical, pressing challenge for society. It diminishes our ability to respond to crisis events, including acts of terrorism and pandemics. It makes us vulnerable, as individuals, groups, and a society, to manipulation from foreign governments, financial opportunists, and a range of other bad actors. This problem, exacerbated by the design and widespread use of social media platforms, is inherently a problem of trust — disinformation undermines trust in information, science, democratic institutions, journalism, and in each other. This research advances our understanding of online disinformation and applies innovative approaches and collaboration infrastructure to address this challenge at a sophistication and pace on par with the dynamic and interdisciplinary nature of the challenge. Through the development, implementation of rapid response frameworks, the research team rapidly identifies disinformation campaigns and communicates those findings uniquely to diverse stakeholders in government, industry, media, and the broader public — helping to build societal resilience to this kind of manipulation.This research has three integrated components: 1) developing models and theories of how disinformation is seeded, cultivated, and spread that take into account the sociotechnical nature of the problem; 2) developing and applying innovative, rapid-analysis frameworks for responding to disinformation quickly; and 3) implementing and evaluating the impact of multi-stakeholder collaborations to address disinformation in real-time during real-world events. The work applies a mixed-method approach that integrates novel visualizations and network analysis to identify patterns and anomalies with qualitative analysis that reveals the meanings of those features. Extending from a rapid response approach, investigators are also developing and evaluating, using interviews and experiments, strategies for communicating these findings with diverse stakeholders. Conceptually, this research leverages theories of rumoring from sociology and social psychology and the growing body of literature related to online manipulation to shed light on the participatory dynamics of disinformation campaigns. In terms of impacts on scientific infrastructure, this effort builds collaboration frameworks that others can use to create their own systems for rapid response.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.

虚假信息是对社会的关键，紧迫的挑战。它降低了我们应对危机事件的能力，包括恐怖主义和大流行的行为。作为个人，团体和社会，它使我们容易受到外国政府，财务机会和其他不良行为者的操纵的脆弱。这个问题加剧了社交媒体平台的设计和广泛使用，这本质上是一个信任的问题 - 虚假信息破坏了对信息，科学，民主机构，新闻业以及彼此之间的信任。这项研究促进了我们对在线虚假信息的理解，并应用了创新的方法和协作基础架构，以与挑战的动态和跨学科性质相提并论，以复杂的步伐应对这一挑战。 Through the development, implementation of rapid response frameworks, the research team rapidly identifies disinformation campaigns and communicates those findings uniquely to divers stakeholders in government, industry, media, and the broader public — helping to build social resilience to this kind of manipulation.This research has three integrated components: 1) developing models and theories of how disinformation is seeded, cultivated, and spread that take into account the sociotechnical nature of the problem; 2）开发和应用创新的快速分析框架来迅速响应虚假信息； 3）实施和评估多利益相关者协作在现实世界中实时解决虚假信息的影响。这项工作采用了混合方法方法，该方法将新颖的可视化和网络分析整合在一起，以识别模式和异常分析与定性分析，从而揭示了这些特征的含义。从快速响应方法延伸，研究人员还使用访谈和实验，与潜水员利益相关者进行交流这些发现的策略也正在开发和评估。从概念上讲，这项研究利用了来自社会学和社会心理学的传言理论，以及与在线操纵有关的文献越来越多，以阐明虚假宣传活动的参与动态。在对科学基础设施的影响方面，这项工作建立了协作框架，其他人可以用来创建自己的系统以快速响应。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响评估标准来评估值得支持。

项目成果

Repeat Spreaders and Election Delegitimization: A Comprehensive Dataset of Misinformation Tweets from the 2020 U.S. Election

重复传播者和选举非法化：2020 年美国大选错误信息推文的综合数据集

• DOI: 10.51685/jqd.2022.013
• 发表时间: 2022
• 期刊: Journal of Quantitative Description: Digital Media
• 作者: Kennedy, Ian;Wack, Morgan;Beers, Andrew;Schafer, Joseph S.;Garcia-Camargo, Isabella;Spiro, Emma S.;Starbird, Kate
• 通讯作者: Starbird, Kate

Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election

动员人造现实：参与性虚假信息如何塑造深层故事以催化 2020 年美国总统选举期间的行动

• DOI: 10.1145/3579616
• 发表时间: 2023
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Prochaska, Stephen;Duskin, Kayla;Kharazian, Zarine;Minow, Carly;Blucker, Stephanie;Venuto, Sylvie;West, Jevin D.;Starbird, Kate
• 通讯作者: Starbird, Kate

Influence and Improvisation: Participatory Disinformation during the 2020 US Election

影响力与即兴发挥：2020 年美国大选期间的参与性虚假信息

• DOI: 10.1177/20563051231177943
• 发表时间: 2023
• 期刊: Social Media + Society
• 影响因子: 5.2
• 作者: Starbird, Kate;DiResta, Renée;DeButts, Matt
• 通讯作者: DeButts, Matt

Rumors Have Rules

谣言有规律

• DOI: 10.58875/cxgl5395
• 发表时间: 2023
• 期刊: Issues in Science and Technology
• 影响因子: 1.7
• 作者: Spiro, Emma;Starbird, Kate
• 通讯作者: Starbird, Kate

Auditing Google's Search Headlines as a Potential Gateway to Misleading Content: Evidence from the 2020 US Election

将 Google 的搜索标题视为误导性内容的潜在门户：来自 2020 年美国大选的证据

• DOI: 10.54501/jots.v1i4.72
• 发表时间: 2022
• 期刊: Journal of Online Trust and Safety
• 作者: Zade, Himanshu;Wack, Morgan;Zhang, Yuanrui;Starbird, Kate;Calo, Ryan;Young, Jason;West, Jevin D.
• 通讯作者: West, Jevin D.