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新冠疫情与群体歇斯底里的政治经济学

COVID-19 and the Political Economy of Mass Hysteria.

机构信息

Department of Applied Economics I, History and Economic Institutions and Moral Philosophy, Social and Legal Sciences Faculty, Rey Juan Carlos University, 28033 Madrid, Spain.

Faculty of Social Sciences and Humanities, Universidad Autónoma de Chile, Providencia 7500912, Chile.

出版信息

Int J Environ Res Public Health. 2021 Feb 3;18(4):1376. doi: 10.3390/ijerph18041376.

Abstract

In this article, we aim to develop a political economy of mass hysteria. Using the background of COVID-19, we study past mass hysteria. Negative information which is spread through mass media repetitively can affect public health negatively in the form of nocebo effects and mass hysteria. We argue that mass and digital media in connection with the state may have had adverse consequences during the COVID-19 crisis. The resulting collective hysteria may have contributed to policy errors by governments not in line with health recommendations. While mass hysteria can occur in societies with a minimal state, we show that there exist certain self-corrective mechanisms and limits to the harm inflicted, such as sacrosanct private property rights. However, mass hysteria can be exacerbated and self-reinforcing when the negative information comes from an authoritative source, when the media are politicized, and social networks make the negative information omnipresent. We conclude that the negative long-term effects of mass hysteria are exacerbated by the size of the state.

摘要

本文旨在构建群体性歇斯底里的政治经济学。我们以新冠疫情为背景,研究过往的群体性歇斯底里。负面信息通过大众媒体反复传播,可能会以反安慰剂效应和群体性歇斯底里的形式对公众健康产生负面影响。我们认为,大众和数字媒体与国家的结合,在新冠疫情危机期间可能产生了不良后果。由此产生的集体歇斯底里可能导致政府的政策错误,不符合卫生建议。虽然在国家最小化的社会中也可能发生群体性歇斯底里,但我们表明,存在某些自我纠正机制和限制伤害的界限,例如神圣不可侵犯的私有财产权。然而,当负面信息来自权威来源、媒体政治化以及社交网络使负面信息无处不在时,群体性歇斯底里可能会加剧和自我强化。我们的结论是,群体性歇斯底里的负面长期影响因国家规模而加剧。

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COVID-19 and the Political Economy of Mass Hysteria.新冠疫情与群体歇斯底里的政治经济学
Int J Environ Res Public Health. 2021 Feb 3;18(4):1376. doi: 10.3390/ijerph18041376.

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本文引用的文献

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Infection fatality rate of COVID-19 inferred from seroprevalence data.基于血清流行率数据推断的 COVID-19 感染病死率。
Bull World Health Organ. 2021 Jan 1;99(1):19-33F. doi: 10.2471/BLT.20.265892. Epub 2020 Oct 14.
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Psychological Consequences of Social Isolation During COVID-19 Outbreak.新冠疫情期间社会隔离的心理影响
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