The Role of Conspiracy Theories in the Spread of COVID-19 across the United States.
The Role of Conspiracy Theories in the Spread of COVID-19 across the United States.
复制标题
阴谋论在 COVID-19 在美国传播中的作用
DOI：
10.3390/ijerph18073843
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发表时间：
2021-04-06
影响因子：
--
通讯作者：
Zhao X
中科院分区：
文献类型：
--
作者：
Gu F;Wu Y;Hu X;Guo J;Yang X;Zhao X
2019冠状病毒病（COVID-19）的爆发激发了各种阴谋论，这可能会转移公众的注意力，改变人类的行为，从而影响大流行的传播。在此，我们估计了2020年3月14日至2020年8月28日期间，网上对COVID-19相关阴谋论的关注与人员流动以及确诊COVID-19病例数量的关系。我们观察到，网上对COVID-19阴谋论的关注与人员流动性显著负相关，但其负面影响明显低于对官方信息和个人防护措施的关注。由于人员流动显著促进COVID-19的传播，对官方信息和个人防护措施的关注分别使COVID-19病例减少了16. 16%和9. 41%，而对阴谋论的关注仅使COVID-19病例减少了6. 65%。此外，我们发现，在网络上对COVID-19阴谋论关注度较高的州，对阴谋论关注度的负相关比对阴谋论关注度较低的州要弱得多。这项研究强调了在大流行期间限制网上传播毫无根据的阴谋论的必要性。
The outbreak of coronavirus disease 2019 (COVID-19) inspires various conspiracy theories, which could divert public attention, alter human behaviors, and consequently affect the spread of the pandemic. Here we estimate the relation of the online attention on COVID-19-related conspiracy theories to human mobility, as well as to the numbers of confirmed COVID-19 cases, during 14 March 2020 to 28 August 2020. We observe that the online attention to COVID-19 conspiracy theories is significantly and negatively related to human mobility, but its negative impact is noticeably less than those of the attention to official information and personal protection measures. Since human mobility significantly promotes the spread of COVID-19, the attention to official information and personal protection measures lowers COVID-19 cases by 16.16% and 9.41%, respectively, while attention to conspiracy theories only reduces the COVID-19 cases by 6.65%. In addition, we find that in the states with higher online attention to COVID-19 conspiracy theories, the negative relation of the attention to conspiracy theories is much weaker than that in states where there is less concern about conspiracies. This study stresses the necessity of restricting the online transmission of unfounded conspiracy theories during a pandemic.
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影响因子：
7.6
作者：
BARON, RM;KENNY, DA
通讯作者：
KENNY, DA
影响因子：
9.8
作者：
Fang H;Wang L;Yang Y
通讯作者：
Yang Y
影响因子：
158.5
作者：
Boulware, David R.;Pullen, Matthew F.;Hullsiek, Kathy H.
通讯作者：
Hullsiek, Kathy H.
DOI：
10.1073/pnas.1523941113
发表时间：
2016-06-14
影响因子：
11.1
作者：
Bakker, Kevin M.;Martinez-Bakker, Micaela Elvira;Stevenson, Tyler J.
通讯作者：
Stevenson, Tyler J.
影响因子：
56.9
作者：
Chinazzi, Matteo;Davis, Jessica T.;Vespignani, Alessandro
通讯作者：
Vespignani, Alessandro