Collaborative Research: SaTC: CORE: Large: Multi-Disciplinary Analyses of the Nature and Spread of Unsubstantiated Information Online
协作研究:SaTC:核心:大型:对未经证实的在线信息的性质和传播进行多学科分析
基本信息
- 批准号:2123635
- 负责人:
- 金额:$ 161.53万
- 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
- 起止时间:2021-07-15 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Americans need reliable information to make decisions that can improve national security, public health, community resilience, economic competitiveness, and quality of life. Online media platforms make it possible for misinformation on these topics to spread with unprecedented speed and scale. To counter the deleterious effects of misinformation, it is important to understand how it spreads and the conditions under which people believe it. This interdisciplinary project examines these dynamics in ways that have the potential to help people make better decisions about what kinds of information will help them make better decisions.The research design focuses on how different ways of presenting misinformation affect people’s attitudes, beliefs, and social identities. The design will show how psychological predispositions, moral values, sociocultural attitudes, social identity, group affinities and other factors influence who believes misinformation -- and who rejects or ignores it. The project also examines how network structures shape where and how false beliefs spread. The project’s research will be broadly disseminated to help scholars, policy experts, and social media designers create more contexts that empower more people to base their decisions on accurate facts.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.
美国人需要可靠的信息来做出决策,以提高国家安全、公共卫生、社区韧性、经济竞争力和生活质量。网络媒体平台使这些话题的错误信息以前所未有的速度和规模传播成为可能。为了对抗错误信息的有害影响,重要的是要了解它是如何传播的,以及人们在什么情况下相信它。这个跨学科的项目考察了这些动态,有可能帮助人们做出更好的决定,什么样的信息将帮助他们做出更好的决定。研究设计的重点是不同的呈现错误信息的方式如何影响人们的态度、信念和社会身份。该设计将展示心理倾向、道德价值观、社会文化态度、社会认同、群体亲和力和其他因素如何影响谁相信错误信息,以及谁拒绝或忽视错误信息。该项目还研究了网络结构如何影响错误信念在哪里传播以及如何传播。该项目的研究将被广泛传播,以帮助学者、政策专家和社交媒体设计师创造更多的背景,使更多的人能够基于准确的事实做出决定。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
How “Loco” Is the LOCO Corpus? Annotating the Language of Conspiracy Theories
LOCO 语料库如何“Loco”?
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Mompelat, Ludovic;Tian, Zuoyu;Kessler, Amanda;Luettgen, Matthew;Rajanala, Aaryana;Kübler, Sandra;Seelig, Michelle
- 通讯作者:Seelig, Michelle
Are Republicans and Conservatives More Likely to Believe Conspiracy Theories?
- DOI:10.1007/s11109-022-09812-3
- 发表时间:2022-07-22
- 期刊:
- 影响因子:3.9
- 作者:Enders, Adam;Farhart, Christina;Miller, Joanne;Uscinski, Joseph;Saunders, Kyle;Drochon, Hugo
- 通讯作者:Drochon, Hugo
Have beliefs in conspiracy theories increased over time?
随着时间的流逝,阴谋论的信念是否有所增加?
- DOI:10.1371/journal.pone.0270429
- 发表时间:2022
- 期刊:
- 影响因子:3.7
- 作者:Uscinski, Joseph;Enders, Adam;Klofstad, Casey;Seelig, Michelle;Drochon, Hugo;Premaratne, Kamal;Murthi, Manohar
- 通讯作者:Murthi, Manohar
How Anti-Social Personality Traits and Anti-Establishment Views Promote Beliefs in Election Fraud, QAnon, and COVID-19 Conspiracy Theories and Misinformation
- DOI:10.1177/1532673x221139434
- 发表时间:2022-11-10
- 期刊:
- 影响因子:1.5
- 作者:Enders, Adam;Klofstad, Casey;Uscinski, Joseph E.
- 通讯作者:Uscinski, Joseph E.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Manohar Narayanamurthi其他文献
Manohar Narayanamurthi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Manohar Narayanamurthi', 18)}}的其他基金
NeTS-NBD: Illuminating Congestion Control: Analytical Guidance and Practical Implementations
NeTS-NBD:阐明拥塞控制:分析指导和实际实施
- 批准号:
0519933 - 财政年份:2005
- 资助金额:
$ 161.53万 - 项目类别:
Standard Grant
CAREER: Agile Speech and Audio Coding and Transmission over Heterogeneous Networks
职业:异构网络上的敏捷语音和音频编码和传输
- 批准号:
0347229 - 财政年份:2004
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
- 批准号:
2317232 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
- 批准号:
2330940 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
- 批准号:
2338301 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
- 批准号:
2317233 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
- 批准号:
2338302 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
- 批准号:
2330941 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Small: Towards Secure and Trustworthy Tree Models
协作研究:SaTC:核心:小型:迈向安全可信的树模型
- 批准号:
2413046 - 财政年份:2024
- 资助金额:
$ 161.53万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: EDU: Adversarial Malware Analysis - An Artificial Intelligence Driven Hands-On Curriculum for Next Generation Cyber Security Workforce
协作研究:SaTC:EDU:对抗性恶意软件分析 - 下一代网络安全劳动力的人工智能驱动实践课程
- 批准号:
2230609 - 财政年份:2023
- 资助金额:
$ 161.53万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: EDU: RoCCeM: Bringing Robotics, Cybersecurity and Computer Science to the Middled School Classroom
合作研究:SaTC:EDU:RoCCeM:将机器人、网络安全和计算机科学带入中学课堂
- 批准号:
2312057 - 财政年份:2023
- 资助金额:
$ 161.53万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: Understanding the Impact of Privacy Interventions on the Online Publishing Ecosystem
协作研究:SaTC:核心:媒介:了解隐私干预对在线出版生态系统的影响
- 批准号:
2237329 - 财政年份:2023
- 资助金额:
$ 161.53万 - 项目类别:
Standard Grant