DDRIG in DRMS: An Investigation of Harm Perceptions from Communications on Social Media about COVID Vaccines

DRMS 中的 DDRIG:社交媒体传播中有关新冠疫苗的危害认知调查

基本信息

  • 批准号:
    2149321
  • 负责人:
  • 金额:
    $ 2.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-02-01 至 2025-01-31
  • 项目状态:
    未结题

项目摘要

During health crises such as COVID-19, dissemination of health information on social media that is not backed by science has been shown to result in serious harms to communities. These harms include both physical harms (such as losses of life, long- and short-term health harms, or financial harms) and psychological harms (such as loss of trusts on others, emotional sufferings, or confusion). These negative effects can lead to wrong decisions such as drinking bleach to cure the viral infection. In investigating this type of harm, this proposal focuses on two specific research questions: (1) How can the perceptions of harm from information not backed by science be characterized in health crises? (2) How are harm perceptions associated with social media conversations in a health crisis? Results have the potential to advance national health and welfare. Official health organizations such as the CDC and WHO, may gain a better understanding of vulnerable population’s threat and need perceptions. An understanding of people’s perceptions of harmful inaccurate information ultimately helps improve the reliability of social media channels. Broader impacts include the support of a doctoral dissertation, dissemination of findings at professional outlets, and teaching modules related to this research project are part of a course at University of Texas at San Antonio, a Hispanic Serving Institution (HSI).Despite prior efforts handling harms from inaccurate information in both COVID-19 pandemic and COVID-19 vaccine contexts, to our knowledge, there is no research that has characterized harm perceptions from such information in health crises. This project takes a sharp focus on perceived harms, rather than on actual harms, and examines the interplay between perceived harms and actual harms. Focusing on the COVID-19 vaccine context, studies examine several COVID-19 vaccine scenarios containing inaccurate information, and characterize harm from that information using three characteristics, i.e., unknown and dread and manageability. Using text mining the project examines the association between harm perceptions and nature of communication in Twitterverse. This is an early attempt at quantitatively measure the harm that results from inaccurate information in the pandemic context. The project advances knowledge in an under-studied area and use conversations in Twitterverse to investigate the nature of communication with respect to harm characteristics. This research bridges social media data with communication theory to unpack the role of social media around crisis communication.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.
在COVID-19等健康危机期间,在社交媒体上传播没有科学支持的健康信息已被证明会对社区造成严重危害。这些伤害包括身体伤害(如生命损失、长期和短期健康伤害或经济伤害)和心理伤害(如对他人失去信任、情感痛苦或困惑)。这些负面影响可能导致错误的决定,例如喝漂白剂来治疗病毒感染。在调查这类伤害时,本建议侧重于两个具体的研究问题:(1)如何在健康危机中描述没有科学支持的信息对伤害的看法?(2)健康危机中的社交媒体对话与伤害认知有何关联?结果有可能促进国民健康和福利。官方卫生组织,如疾病预防控制中心和世界卫生组织,可能会更好地了解弱势群体的威胁和需求的看法。了解人们对有害的不准确信息的看法最终有助于提高社交媒体渠道的可靠性。更广泛的影响包括博士论文的支持,在专业渠道传播研究结果,以及与此研究项目相关的教学模块是德克萨斯大学圣安东尼奥分校西班牙裔服务机构(HSI)课程的一部分。尽管之前努力处理COVID-19大流行和COVID-19疫苗背景下不准确信息的危害,据我们所知,没有任何研究表明在健康危机中这种信息的危害性。该项目重点关注感知伤害,而不是实际伤害,并研究感知伤害和实际伤害之间的相互作用。针对COVID-19疫苗背景,研究检查了几种包含不准确信息的COVID-19疫苗情景,并使用三个特征描述了这些信息的危害,即,未知的,恐惧的,令人不安的。使用文本挖掘,该项目研究了Twitterverse中的伤害感知和通信性质之间的关联。这是定量衡量大流行背景下不准确信息造成的危害的早期尝试。该项目在一个研究不足的领域推进知识,并使用Twitterverse中的对话来调查危害特征方面的通信性质。该研究将社交媒体数据与传播理论联系起来,揭示社交媒体在危机传播中的作用。该奖项反映了NSF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

期刊论文数量(0)
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Raghav Rao其他文献

Security in grid computing: A review and synthesis
网格计算中的安全性:回顾与综合
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    7.5
  • 作者:
    E. Cody;R. Sharman;Raghav Rao;S. Upadhyaya
  • 通讯作者:
    S. Upadhyaya
Electronic Banking and Information Assurance Issues: Surveys and Synthesis
电子银行和信息保障问题:调查与综合
  • DOI:
    10.4018/joeuc.2004070101
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Manish Gupta;Raghav Rao;S. Upadhyaya
  • 通讯作者:
    S. Upadhyaya

Raghav Rao的其他文献

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{{ truncateString('Raghav Rao', 18)}}的其他基金

Workshop on Information Systems for Disaster Response Management (WIS-DRM); San Antonio, Texas; Part 1 Virtual, and Part 2 19-20 June 2023
灾害响应管理信息系统讲习班(WIS-DRM);
  • 批准号:
    2240347
  • 财政年份:
    2023
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
SCC-PG: Building Resilience during Disasters through Digital Inclusion of Older Adults: A Smart and Connected Community Research Initiative
SCC-PG:通过老年人的数字包容性增强灾难期间的复原力:智能互联社区研究计划
  • 批准号:
    2126504
  • 财政年份:
    2021
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
Travel: Secure Knowledge Management Workshop
旅行:安全知识管理研讨会
  • 批准号:
    2133980
  • 财政年份:
    2021
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
Collaborative Research: Information Technology and Emergency Response Improvisation: An Investigation
合作研究:信息技术与应急响应即兴:调查
  • 批准号:
    2020252
  • 财政年份:
    2020
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Continuing Grant
NSF Student Travel Grant for 2017 Secure Knowledge Management Workshop (SKM)
2017 年安全知识管理研讨会 (SKM) 的 NSF 学生旅行补助金
  • 批准号:
    1742661
  • 财政年份:
    2017
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Employees' Response to OPM Data Breaches: Decision Making in the Context of Anxiety and Fatigue
RAPID:协作研究:员工对 OPM 数据泄露的反应:焦虑和疲劳背景下的决策
  • 批准号:
    1651060
  • 财政年份:
    2016
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
SBE: Small: Collaborative: Modeling Insider Threat Behavior in Financial Institutions: Large Scale Data Analysis
SBE:小型:协作:金融机构内部威胁行为建模:大规模数据分析
  • 批准号:
    1724725
  • 财政年份:
    2016
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
EAGER: An Investigation of the Propagation of Error-Resistant and Error-Prone Messages Over Large-Scale Information Networks
EAGER:大规模信息网络上防错和易错消息传播的研究
  • 批准号:
    1651475
  • 财政年份:
    2016
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Employees' Response to OPM Data Breaches: Decision Making in the Context of Anxiety and Fatigue
RAPID:协作研究:员工对 OPM 数据泄露的反应:焦虑和疲劳背景下的决策
  • 批准号:
    1554373
  • 财政年份:
    2015
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant
SBE: Small: Collaborative: Modeling Insider Threat Behavior in Financial Institutions: Large Scale Data Analysis
SBE:小型:协作:金融机构内部威胁行为建模:大规模数据分析
  • 批准号:
    1419856
  • 财政年份:
    2014
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Standard Grant

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  • 批准号:
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