• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

mRNA 疫苗犹豫:通过网络叙事传播错误信息。

mRNA Vaccine Hesitancy: Spreading Misinformation Through Online Narratives.

机构信息

Strategic Communication, Quinnipiac University, Hamden, CT, USA.

Communication, Radford University, Radford, VA, USA.

出版信息

J Health Commun. 2024 Aug 2;29(8):538-547. doi: 10.1080/10810730.2024.2379954. Epub 2024 Jul 17.

DOI:10.1080/10810730.2024.2379954
PMID:39018340
Abstract

This research examined the themes that emerge from online discussions of the COVID-19 vaccines to assist health communicators and officials in combating misinformation in health-related discussions. Using framing theory and the diffusion of innovation framework, this study presents findings from a semantic network analysis of 3842 tweets collected during the first week of February 2022. The authors calculated betweenness and page rank centrality scores for Twitter users participating in the online dialogue and identified 36 semantic themes. Findings revealed that the most influential dialogue participants were retired health and medical professionals, data analysts, journalists, online advocates, and politicians. The frames identified in the study contained several misinformation narratives about the COVID-19 vaccines. The authors discuss the implications of these findings for health officials and communicators as well as the theoretical implications of the diffusion of misinformation and framing as a tool to reiterate untruths.

摘要

本研究考察了关于 COVID-19 疫苗的在线讨论中出现的主题,以帮助卫生传播者和官员在与健康相关的讨论中对抗错误信息。本研究使用框架理论和创新扩散框架,展示了对 2022 年 2 月第一周收集的 3842 条推文进行语义网络分析的结果。作者为参与在线对话的 Twitter 用户计算了中间性和网页排名中心度得分,并确定了 36 个语义主题。研究结果表明,最有影响力的对话参与者是退休的健康和医疗专业人员、数据分析师、记者、在线倡导者和政治家。研究中确定的框架包含了一些关于 COVID-19 疫苗的错误信息叙述。作者讨论了这些发现对卫生官员和传播者的意义,以及错误信息扩散和框架作为重复谎言工具的理论意义。

相似文献

1
mRNA Vaccine Hesitancy: Spreading Misinformation Through Online Narratives.mRNA 疫苗犹豫:通过网络叙事传播错误信息。
J Health Commun. 2024 Aug 2;29(8):538-547. doi: 10.1080/10810730.2024.2379954. Epub 2024 Jul 17.
2
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies.社交媒体上对 COVID-19 疫苗的犹豫:构建一个关于反疫苗内容、疫苗错误信息和阴谋论的公共 Twitter 数据集。
JMIR Public Health Surveill. 2021 Nov 17;7(11):e30642. doi: 10.2196/30642.
3
Examining the Effects of Social Media Warning Labels on Perceived Credibility and Intent to Engage with Health Misinformation: The Moderating Role of Vaccine Hesitancy.研究社交媒体警示标签对健康错误信息感知可信度和参与意愿的影响:疫苗犹豫的调节作用。
J Health Commun. 2024 Sep;29(9):556-565. doi: 10.1080/10810730.2024.2385638. Epub 2024 Aug 7.
4
Online misinformation and vaccine hesitancy.网络错误信息与疫苗犹豫
Transl Behav Med. 2021 Dec 14;11(12):2194-2199. doi: 10.1093/tbm/ibab128.
5
COVID-19 vaccination communication: Effects of vaccine conspiracy beliefs and message framing among black and white participants.COVID-19 疫苗接种传播:疫苗阴谋论信仰和信息框架对白人和黑人参与者的影响。
Vaccine. 2024 May 10;42(13):3197-3205. doi: 10.1016/j.vaccine.2024.04.001. Epub 2024 Apr 16.
6
COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.新冠疫情与5G阴谋论:基于推特数据的社交网络分析
J Med Internet Res. 2020 May 6;22(5):e19458. doi: 10.2196/19458.
7
Vaccine discourse during the onset of the COVID-19 pandemic: Topical structure and source patterns informing efforts to combat vaccine hesitancy.COVID-19 大流行期间的疫苗话语:提供信息以对抗疫苗犹豫的主题结构和来源模式。
PLoS One. 2022 Jul 27;17(7):e0271394. doi: 10.1371/journal.pone.0271394. eCollection 2022.
8
ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection.抗疫苗:用于 COVID-19 疫苗错误信息检测的新型 Twitter 数据集。
Public Health. 2022 Feb;203:23-30. doi: 10.1016/j.puhe.2021.11.022. Epub 2021 Dec 7.
9
Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study.新冠疫苗错误信息在最后阶段的传播:回顾性观察性信息疫情研究
JMIR Infodemiology. 2022 Mar 16;2(1):e33587. doi: 10.2196/33587. eCollection 2022 Jan-Jun.
10
Misinformation and COVID-19 vaccine hesitancy.错误信息与 COVID-19 疫苗犹豫
Vaccine. 2023 Jan 4;41(1):136-144. doi: 10.1016/j.vaccine.2022.11.014. Epub 2022 Nov 14.