RAPID: Countering COVID-19 Misinformation via Situation-Aware Visually Informed Treatment
RAPID:通过情境感知视觉信息治疗来反击 COVID-19 错误信息
基本信息
- 批准号:2027713
- 负责人:
- 金额:$ 10.45万
- 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:2020-05-01 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
As the COVID-19 pandemic spreads, countries and cities around the globe have taken stringent measures including quarantine and regional lockdown. The increasing isolation, along with the panic and anxiety, creates challenges for countering misinformation--people are increasingly tapping into online information sources already familiar to them with declining chances of accessing alternative stories. This project will develop mechanisms based on text and image analysis, social psychology, and crowd-sourcing that can be used in a timely manner to counter misinformation during the ongoing COVID-19 crisis and beyond. One of the novel features of the approach is to deal with a specific instance of misinformation by crowd-sourcing authentic images that counter this misinformation. This research will contribute to the scientific understanding of misinformation and of persuasive narrative construction, to the assessment of risk for the spread of misinformation, and to the development of mechanisms to counter misinformation. The technical aims of this project are divided into three thrusts. The first thrust will investigate what information content and which specific part of a multimodal social media post (e.g, a piece of text, text with an image, image with an embedded slogan) will receive stronger responses and hence increase the likelihood of the post being shared. The second thrust will create metrics to assess the likelihood of the spread of misinformation based on predictors learned from the content to which users are exposed. The third thrust will focus on the development of a system to counter misinformation based on citizen journalists’ inputs of field investigations and on machine learning techniques. Finally, the system will be evaluated by survey studies and interviews to examine the system’s usability, usefulness, and effectiveness in reducing the spreading and impact of misinformation.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.
随着COVID-19疫情蔓延,地球仪各国及城市已采取严格措施,包括隔离及区域封锁。越来越多的孤立,沿着而来的恐慌和焦虑,给抵制错误信息带来了挑战--人们越来越多地利用他们已经熟悉的在线信息来源,而获得替代故事的机会越来越少。该项目将开发基于文本和图像分析、社会心理学和众包的机制,可在持续的COVID-19危机期间及以后及时用于对抗错误信息。 该方法的一个新特征是通过众包真实图像来应对错误信息的具体实例。 这项研究将有助于科学地理解错误信息和有说服力的叙事结构,评估错误信息传播的风险,并建立对抗错误信息的机制。该项目的技术目标分为三个方面。第一个重点将调查多模态社交媒体帖子的哪些信息内容和哪些特定部分(例如,一段文本,带有图像的文本,带有嵌入式口号的图像)将获得更强的响应,从而增加帖子被共享的可能性。第二个重点是创建指标,根据从用户接触的内容中学习到的预测因素来评估错误信息传播的可能性。第三个重点将侧重于开发一个系统,根据公民记者对实地调查的投入和机器学习技术,打击错误信息。最后,该系统将通过调查研究和访谈进行评估,以检查该系统的可用性,有用性和有效性,在减少传播和影响的错误信息。这个奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Argumentatively Phony? Detecting Misinformation via Argument Mining
争论虚伪?
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Yan, Muheng;Lin, Yu-Ru;Litman, Diane
- 通讯作者:Litman, Diane
Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics
- DOI:10.48550/arxiv.2204.00988
- 发表时间:2022-04
- 期刊:
- 影响因子:0
- 作者:Jooyoung Lee;Siqi Wu;A. Ertugrul;Yu-Ru Lin;Lexing Xie
- 通讯作者:Jooyoung Lee;Siqi Wu;A. Ertugrul;Yu-Ru Lin;Lexing Xie
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization
- DOI:10.1145/3487553.3524647
- 发表时间:2021-12
- 期刊:
- 影响因子:0
- 作者:Mesut Erhan Unal;Adriana Kovashka;Wen-Ting Chung;Yu-Ru Lin
- 通讯作者:Mesut Erhan Unal;Adriana Kovashka;Wen-Ting Chung;Yu-Ru Lin
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
- DOI:10.1609/icwsm.v16i1.19353
- 发表时间:2021-09
- 期刊:
- 影响因子:0
- 作者:Xian Teng;Yu-Ru Lin;Wen-Ting Chung;Ang Li;Adriana Kovashka
- 通讯作者:Xian Teng;Yu-Ru Lin;Wen-Ting Chung;Ang Li;Adriana Kovashka
Are Mutated Misinformation More Contagious? A Case Study of COVID-19 Misinformation on Twitter
变异的错误信息是否更具传染性?
- DOI:10.1145/3501247.3531562
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Yan, Muheng;Chung, Wen-Ting;Lin, Yu-Ru
- 通讯作者:Lin, Yu-Ru
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Yu-Ru Lin其他文献
Effect of nanoclay supported nanosilver on the growth inhibition of aquatic pathogens and immunomodulatory effect in emPenaeus/em emvannamei/em
纳米粘土负载纳米银对凡纳滨对虾水生病原体生长抑制及免疫调节作用的影响
- DOI:
10.1016/j.fsi.2023.108673 - 发表时间:
2023-04-01 - 期刊:
- 影响因子:3.900
- 作者:
Zhen-Hao Liao;Huai-Ting Huang;Yu-Ru Lin;Chi-Yun Hu;Yu-Hsuan Kai;Jiang-Jen Lin;Fan-Hua Nan - 通讯作者:
Fan-Hua Nan
Unveiling a new hemocyte subpopulation in white shrimp (emPenaeus vannamei/em) and the characterization of immune response in hemocyte subpopulation
揭示南美白对虾(*Penaeus vannamei*)的一种新的血细胞亚群以及血细胞亚群免疫反应的特征
- DOI:
10.1016/j.fsi.2025.110317 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:3.900
- 作者:
Novi Rosmala Dewi;Ari Widodo;Muhammad Ar Rozzaaq Nugraha;Min-Da Yang;Ta-Jeng Yang;Yu-Ru Lin;Yeh-Fang Hu - 通讯作者:
Yeh-Fang Hu
Captive spawning, early development, and larviculture of largescale blackfish, <em>Girella punctata</em> (Gray, 1835), and effects of macroalgae and alternative protein sources on its juvenile growth performance
- DOI:
10.1016/j.aqrep.2024.102349 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Yu-Ru Lin;Yeh-Fang Hu;Yu-Ting Chu;Guang-Yin Lu;Tzu-Yu Huang;Chih-Yang Huang;Fan-Hua Nan - 通讯作者:
Fan-Hua Nan
主鎖二面角パターンによるαβ型タンパク質構造のデザイン
利用主链二面角模式设计αβ型蛋白质结构
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Yu-Ru Lin;古賀理恵;Gaohua Liu;Gaetano T. Montelione;David Baker;古賀信康 - 通讯作者:
古賀信康
Transcriptome profile of early matured Macrobrachium rosenbergii (Giant Freshwater Prawn) from Taiwan
台湾罗氏沼虾(巨型淡水虾)早期成熟的转录组概况
- DOI:
10.1038/s41597-025-05206-2 - 发表时间:
2025-06-03 - 期刊:
- 影响因子:6.900
- 作者:
Sofia Priyadarsani Das;Yu-Ru Lin;Yu-Sheng Wu;Chun-Hung Liu;Yeh-Fang Hu;Fan-Hua Nan - 通讯作者:
Fan-Hua Nan
Yu-Ru Lin的其他文献
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{{ truncateString('Yu-Ru Lin', 18)}}的其他基金
Collaborative Research: HNDS-I: Digitally Accountable Public Representation
合作研究:HNDS-I:数字化负责任的公共代表
- 批准号:
2318461 - 财政年份:2023
- 资助金额:
$ 10.45万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral Consortium for the International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simula
研讨会:社会计算、行为文化建模国际会议博士联盟
- 批准号:
1926691 - 财政年份:2019
- 资助金额:
$ 10.45万 - 项目类别:
Standard Grant
Collaborative Research: Collective Sense Making Following a Terrorist Attack: The Immediate and Long-Term Impact on Public Resilience
合作研究:恐怖袭击后的集体意识:对公众抵御能力的直接和长期影响
- 批准号:
1634944 - 财政年份:2016
- 资助金额:
$ 10.45万 - 项目类别:
Standard Grant
RIDIR: Collaborative Research: DAPPR: Diffusion Analytics for Public Policy Research
RIDIR:协作研究:DAPPR:公共政策研究的扩散分析
- 批准号:
1637067 - 财政年份:2016
- 资助金额:
$ 10.45万 - 项目类别:
Standard Grant
Collaborative Research: Threat Perception Following Mass Violence Events
合作研究:大规模暴力事件后的威胁感知
- 批准号:
1423697 - 财政年份:2014
- 资助金额:
$ 10.45万 - 项目类别:
Standard Grant
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