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

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:
2120098
负责人:
Jeffrey Hancock
金额:
$74.84万
依托单位:
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
项目状态:
未结题
起止时间:
2021-10-01 至 2026-09-30

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中文摘要
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英文摘要
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.
期刊论文(2)
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科研奖励(0)
会议论文
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
影响因子: --
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
Designing misinformation interventions for all: Perspectives from AAPI, Black, Latino, and Native American community leaders on misinformation educational efforts
为所有人设计错误信息干预措施:AAPI、黑人、拉丁裔和美洲原住民社区领导人对错误信息教育工作的看法
DOI: 10.37016/mr-2020-111
发表时间: 2023
期刊: Harvard Kennedy School Misinformation Review
影响因子: --
作者: [Lee, Angela Y., Moore, Ryan C., Hancock, Jeffrey T.]
通讯作者: Hancock, Jeffrey T.
RAPID: Pinpointing Expected Covid-19 Related Voter Turnout Problems
  • 批准号:
    2031398
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.93万
  • 财政年份:
    2020
  • 负责人:
    Jeffrey Hancock
  • 依托单位:
CHS: Medium: Collaborative Research: Charting a Research Agenda in Artificial Intelligence - Mediated Communication
  • 批准号:
    1901329
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $39.48万
  • 财政年份:
    2019
  • 负责人:
    Jeffrey Hancock
  • 依托单位:
DeceptiCon: A conference on the study of deception, trust and technology
  • 批准号:
    1733608
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.22万
  • 财政年份:
    2017
  • 负责人:
    Jeffrey Hancock
  • 依托单位:
CHS: Small: Collaborative Research: The Presentation of Self in Networked Life
  • 批准号:
    1617243
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2016
  • 负责人:
    Jeffrey Hancock
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)