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J Public Aff. 2022 Nov 30:e2846. doi: 10.1002/pa.2846.
2
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本文引用的文献

1
Beyond (Mis)Representation: Visuals in COVID-19 Misinformation.超越(错误)呈现:新冠疫情虚假信息中的视觉元素
Int J Press Polit. 2021 Jan;26(1):277-299. doi: 10.1177/1940161220964780.
2
COVID-19 vaccine-taking hesitancy among Bangladeshi people: knowledge, perceptions and attitude perspective.孟加拉国人对接种 COVID-19 疫苗的犹豫:知识、看法和态度视角。
Hum Vaccin Immunother. 2021 Nov 2;17(11):4028-4037. doi: 10.1080/21645515.2021.1968215. Epub 2021 Sep 23.
3
Escape from COVID-19 pandemic to safe haven.逃离新冠疫情,前往安全之地。
J Public Aff. 2021 Nov;21(4):e2728. doi: 10.1002/pa.2728. Epub 2021 Aug 6.
4
Not just conspiracy theories: Vaccine opponents and proponents add to the COVID-19 'infodemic' on Twitter.不只是阴谋论:疫苗反对者和支持者加剧了推特上关于新冠疫情的“信息疫情”。
Harv Kennedy Sch Misinformation Rev. 2020 Sep;1. doi: 10.37016/mr-2020-38. Epub 2020 Sep 9.
5
Susceptibility to misinformation about COVID-19 around the world.世界各地对新冠疫情错误信息的易感性。
R Soc Open Sci. 2020 Oct 14;7(10):201199. doi: 10.1098/rsos.201199. eCollection 2020 Oct.
6
A global survey of potential acceptance of a COVID-19 vaccine.一项针对 COVID-19 疫苗潜在接受度的全球调查。
Nat Med. 2021 Feb;27(2):225-228. doi: 10.1038/s41591-020-1124-9. Epub 2020 Oct 20.
7
Does life expectancy, death rate and public health expenditure matter in sustaining economic growth under COVID-19: Empirical evidence from Nigeria?在新冠疫情下,预期寿命、死亡率和公共卫生支出对维持经济增长至关重要吗?来自尼日利亚的实证证据
J Public Aff. 2021 Nov;21(4):e2302. doi: 10.1002/pa.2302. Epub 2020 Aug 24.
8
Towards intervention development to increase the uptake of COVID-19 vaccination among those at high risk: Outlining evidence-based and theoretically informed future intervention content.针对高危人群中 COVID-19 疫苗接种率的提高,制定基于证据和理论的未来干预内容。
Br J Health Psychol. 2020 Nov;25(4):1039-1054. doi: 10.1111/bjhp.12468. Epub 2020 Sep 5.
9
The "Pandemic" of Disinformation in COVID-19.新冠疫情中的虚假信息“大流行”。
SN Compr Clin Med. 2020;2(9):1287-1289. doi: 10.1007/s42399-020-00439-1. Epub 2020 Aug 1.
10
COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis.新冠疫情相关信息泛滥及其对公共卫生的影响:全球社交媒体分析。
Am J Trop Med Hyg. 2020 Oct;103(4):1621-1629. doi: 10.4269/ajtmh.20-0812.

新冠疫情信息疫情:对“脆弱五国”的一项研究。

COVID-19 Infodemic: A study on the Fragile Five countries.

作者信息

Boyacı Yıldırım Merve

机构信息

Department of Public Relations and Publicity Faculty of Economics, Administrative and Social Sciences, Istanbul Gelisim University Istanbul Turkey.

出版信息

J Public Aff. 2022 Nov 30:e2846. doi: 10.1002/pa.2846.

DOI:10.1002/pa.2846
PMID:36718190
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9878246/
Abstract

During the COVID-19 pandemic, many rumors and conspiracy theories spread in various media outlets. The purpose of this study is to reveal the nature of the misinformation detected by fact check platforms that spread in the Fragile Five countries. To determine the themes of misinformation about COVID-19 and from which media it is disseminated are a possible way to prevent it. The data of the study were obtained from International Fact-checking Network's CoronaVirusFacts database. One thousand seven hundred thirty-four piece of misinformation collected by web scraping method during the period January 24, 2020 to November 14, 2020 and analyzed with MAXQDA Analytics Pro 2020. As a result of the research, it was found that rumors (96.3%) spread more in the Fragile Five countries than conspiracy theories (3.7%). While the main theme of the rumors is about illness (26.9%) and diagnosis-treatment (25%), conspiracy theories are mostly related to the cause of the disease (68.8%). 53.06% of misinformation was spread through the Facebook platform. 15.32% on Twitter; 13.34% on WhatsApp. Misinformation has been heavily false (85.12%) in both rumor and conspiracy theories. In the second place, misleading (10.09%) news spread.

摘要

在新冠疫情期间,许多谣言和阴谋论在各种媒体上传播。本研究的目的是揭示在“脆弱五国”传播的、由事实核查平台检测到的错误信息的本质。确定关于新冠疫情的错误信息主题以及其传播的媒体渠道是预防此类信息传播的一种可能途径。本研究的数据来自国际事实核查网络的“冠状病毒事实”数据库。通过网络抓取方法收集了2020年1月24日至2020年11月14日期间的1734条错误信息,并使用MAXQDA Analytics Pro 2020进行分析。研究结果发现,在“脆弱五国”,谣言(96.3%)比阴谋论(3.7%)传播得更多。谣言的主要主题是关于疾病(26.9%)和诊断治疗(25%),而阴谋论大多与疾病成因相关(68.8%)。53.06%的错误信息通过脸书平台传播。15.32%通过推特传播;13.34%通过WhatsApp传播。在谣言和阴谋论中,错误信息大多是完全错误的(85.12%)。其次是误导性(10.09%)新闻的传播。