COVID-19病例的对数与线性可视化不影响公民对隔离的支持

IF 1.2 2区 社会学 Q3 POLITICAL SCIENCE
Semra Sevi, Marco Mendoza Aviña, Gabrielle Péloquin-Skulski, Emmanuel Heisbourg, Paola Vegas, Maxime Coulombe, Vincent Arel‐Bundock, P. Loewen, A. Blais
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引用次数: 24

摘要

2019年12月下旬,SARS-CoV-2病毒首次在中国武汉被发现,并迅速传播到许多国家。到2020年3月,该病毒已引发全球大流行(世界卫生组织,2020年)。为应对这场危机,各国政府实施了前所未有的公共卫生措施。这些政策的成功在很大程度上取决于公众遵守新规定的意愿。公民是否愿意遵守的一个关键因素是他们对激励政府行动的数据的理解。在本研究中,我们考察了不同的数据可视化呈现方式如何影响公民对公共政策的看法、态度和支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logarithmic versus Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement
The SARS-CoV-2 virus was first identified in Wuhan, China, in late December 2019, and it quickly spread to many countries. By March 2020, the virus had triggered a global pandemic (World Health Organization, 2020). In response to this crisis, governments have implemented unprecedented public health measures. The success of these policies will largely depend on the public's willingness to comply with new rules. A key factor in citizens’ willingness to comply is their understanding of the data that motivate government action. In this study, we examine how different ways of presenting these data visually can affect citizen's perceptions, attitudes and support for public policy.
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来源期刊
CiteScore
6.30
自引率
5.70%
发文量
81
期刊介绍: This journal provides original research articles, notes, commentaries, review articles, and book reviews in all areas of political science, including but not limited to: the history of political thought; contemporary political theory; international relations and foreign policy; governmental institutions and processes; political behaviour; public administration and public policy; and women and politics. In addition, the Canadian Journal of Political Science/Revue canadienne de science politique is the primary forum for innovative research on all facets of Canadian politics and government as well as the principal outlet for Canadian political science scholarship. Submissions are accepted in English and in French.
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