RAPID: Measuring Information Consumption and Beliefs During the Covid-19 Pandemic.

RAPID:衡量 Covid-19 大流行期间的信息消费和信念。

基本信息

  • 批准号:
    2029610
  • 负责人:
  • 金额:
    $ 19.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-06-01 至 2022-02-28
  • 项目状态:
    已结题

项目摘要

In recent months, the global COVID-19 pandemic has been accompanied by a surge in pandemic-related false information, exposing shortcomings in the diffusion of high quality information through online networks and in our understanding of who is most susceptible to false and misleading information during times of crisis. Important questions remain about who is able to discriminate low-quality information from high-quality information related to COVID-19 and who is most vulnerable to low-quality information during the pandemic. This project investigates susceptibility to false and misleading information both in the time of, and related to, the COVID-19 pandemic. As government agencies, civic organizations, and for-profit companies work together to combat coronavirus-related false information, an understanding of who is most likely to believe false information — and mistrust true information — is necessary for crafting and distributing targeted public health communications. Social and behavioral literature offer competing insights into how the current epidemic might impact people’s ability to evaluate the veracity of information. This project will test a series of theoretically informed hypotheses about why we might expect people’s ability to correctly identify the veracity of information to change in the time of COVID-19, and why we might expect people’s ability to discern the veracity of COVID-19 related information to differ from their ability to ascertain the veracity of non-Covid-19 related information. By sourcing real time news articles to crowds of ordinary citizens as well as professional fact checkers over a multi-month period, this project will investigate the individual-level determinants of susceptibility to false information in real time, whether ordinary citizens can be employed to crowdsource the labeling of high- and low-quality information, and whether crowdsourced fact-checking can reduce the prevalence of false information in the information ecosystem.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.
近几个月来,COVID-19全球大流行伴随着与大流行相关的虚假信息激增,暴露了通过在线网络传播高质量信息的缺陷,以及我们对危机时期谁最容易受到虚假和误导性信息影响的认识的缺陷。在大流行期间,谁能够区分与COVID-19相关的低质量信息和高质量信息,谁最容易受到低质量信息的影响,这些都是重要的问题。本项目调查在2019冠状病毒病大流行期间和相关期间对虚假和误导性信息的易感性。随着政府机构、民间组织和营利性公司共同努力,打击与冠状病毒相关的虚假信息,了解谁最有可能相信虚假信息,而不信任真实信息,对于制定和分发有针对性的公共卫生信息是必要的。社会和行为文献对当前疫情如何影响人们评估信息真实性的能力提供了相互矛盾的见解。该项目将测试一系列理论上有根据的假设,即为什么我们可以预期人们正确识别信息真实性的能力会在COVID-19期间发生变化,以及为什么我们可以预期人们识别COVID-19相关信息真实性的能力与确定非COVID-19相关信息真实性的能力不同。通过在几个月的时间里向普通公民群体和专业事实检查员提供实时新闻文章,该项目将调查实时对虚假信息易感性的个人层面决定因素,是否可以雇用普通公民来众包高质量和低质量信息的标签,以及众包事实核查是否可以减少信息生态系统中虚假信息的流行。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Joshua Tucker其他文献

Safety and Diagnostic Yield of Percutaneous Urinary Bladder Tumor Biopsy
  • DOI:
    10.1007/s00261-025-05139-9
  • 发表时间:
    2025-07-28
  • 期刊:
  • 影响因子:
    2.200
  • 作者:
    Joshua Tucker;Vidit Sharma;Matthew Johnson;Rebecca Hibbert;Jamie Kapplinger;Michael Moynagh;Daniel Adamo;John Schmitz;Ahmad Parvinian
  • 通讯作者:
    Ahmad Parvinian
Manufacturing Autoclave-Grade Thermoset Carbon Fiber-Reinforced Polymer Aerospace Composites without an Autoclave Using Nanoporous Materials.
使用纳米多孔材料无需高压釜即可制造高压釜级热固性碳纤维增强聚合物航空航天复合材料。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    9.5
  • 作者:
    C. Li;Travis J. Hank;E. Kalfon;C. Furtado;Jeonyoon Lee;Shannon Cassady;Joshua Tucker;Seth S Kessler;B. Wardle
  • 通讯作者:
    B. Wardle
A first genomic portrait of the deep-water azooxanthellate reef-building coral Madracis myriaster: genome size, repetitive elements, nuclear RNA gene operon, mitochondrial genome, and phylogenetic placement in the family Pocilloporidae
  • DOI:
    10.1007/s00338-023-02419-y
  • 发表时间:
    2023-09-29
  • 期刊:
  • 影响因子:
    2.900
  • 作者:
    Joshua Tucker;Lina M. Barrios;Richard Preziosi;J. Antonio Baeza
  • 通讯作者:
    J. Antonio Baeza

Joshua Tucker的其他文献

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{{ truncateString('Joshua Tucker', 18)}}的其他基金

RCN: Democracy in the Networked Era
RCN:网络时代的民主
  • 批准号:
    2331641
  • 财政年份:
    2023
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Standard Grant
Lessons Learned: Navigating a Presidential Election During a Pandemic
经验教训:大流行期间的总统选举
  • 批准号:
    2104209
  • 财政年份:
    2021
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Standard Grant
Theory, Methods, and Empirical Analysis of Internet Bots
互联网机器人的理论、方法和实证分析
  • 批准号:
    1756657
  • 财政年份:
    2018
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: Sectarianism Without Borders: Big Data and Experimental Analyses of Transnational Sunni-Shia Conflict
博士论文研究:宗派主义无国界:逊尼派与什叶派跨国冲突的大数据与实验分析
  • 批准号:
    1647450
  • 财政年份:
    2017
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research in Political Science: Corruption and Incumbency Disadvantage in New Democracies
政治学博士论文研究:新民主国家的腐败和在职劣势
  • 批准号:
    1323034
  • 财政年份:
    2014
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Standard Grant

相似海外基金

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协作研究:SaTC:TTP:中:iDRAMA.cloud:测量和理解信息操纵的平台
  • 批准号:
    2247867
  • 财政年份:
    2023
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: TTP: Medium: iDRAMA.cloud: A Platform for Measuring and Understanding Information Manipulation
协作研究:SaTC:TTP:中:iDRAMA.cloud:测量和理解信息操纵的平台
  • 批准号:
    2247868
  • 财政年份:
    2023
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Continuing Grant
Measuring and Reducing the Cost of Political Information Processing
衡量和降低政治信息处理的成本
  • 批准号:
    23K12419
  • 财政年份:
    2023
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Data science approaches for measuring the effects of foreign information operations
用于衡量外国信息运营影响的数据科学方法
  • 批准号:
    2260175
  • 财政年份:
    2019
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Studentship
Measuring global social policy dynamics and cross-national interdependencies in global perspective—Co-Creating the Global Welfare State Information System (WeSIS) (A01)
从全球视角衡量全球社会政策动态和跨国相互依存——共同创建全球福利国家信息系统(WeSIS)(A01)
  • 批准号:
    398374714
  • 财政年份:
    2018
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Collaborative Research Centres
Establishment of Monitoring Method for Learning Activities by Measuring Biometric Information toward Supporting Adaptive Learning
通过测量生物识别信息建立学习活动监控方法以支持适应性学习
  • 批准号:
    18K18670
  • 财政年份:
    2018
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Measuring information flow in nonverbal social coordination in a string quartet model
在弦乐四重奏模型中测量非语言社会协调中的信息流
  • 批准号:
    525759-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 19.96万
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    University Undergraduate Student Research Awards
A novel approach to an investigation into the control mechanism of mastication and swallowing by measuring jaw movements with six degrees of freedom and bio-information
通过测量六自由度下颌运动和生物信息来研究咀嚼和吞咽控制机制的新方法
  • 批准号:
    16K15840
  • 财政年份:
    2016
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
Measuring Information Exposure in Dynamic and Dependent Networks (ExpoNet)
测量动态和相关网络中的信息暴露 (ExpoNet)
  • 批准号:
    ES/N012283/1
  • 财政年份:
    2016
  • 资助金额:
    $ 19.96万
  • 项目类别:
    Research Grant
Collaborative Research: Measuring Information Content of the Artifacts of Early Design
合作研究:测量早期设计制品的信息内容
  • 批准号:
    1532894
  • 财政年份:
    2015
  • 资助金额:
    $ 19.96万
  • 项目类别:
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