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Research Article
Open Access

The Social and Political Impact of the COVID-19 Pandemic: An Introduction

Beth Redbird, Laurel Harbridge-Yong, Rachel Davis Mersey
RSF: The Russell Sage Foundation Journal of the Social Sciences December 2022, 8 (8) 1-29; DOI: https://doi.org/10.7758/RSF.2022.8.8.01
Beth Redbird
aAssistant professor of sociology and a faculty fellow at the Institute for Policy Research and at the Center for Native American and Indigenous Research at Northwestern University and director of the COVID-19 Social Change Laboratory, United States
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Laurel Harbridge-Yong
bAssociate professor of political science, a faculty fellow at the Institute for Policy Research at Northwestern University, and Co-PI of the COVID-19 Social Change Survey, United States
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Rachel Davis Mersey
cJesse H. Jones Centennial Professor in the Moody College of Communication at the University of Texas at Austin, United States
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Article Figures & Data

Figures

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    Figure 1.

    New U.S. Daily COVID Cases

    Notes: Data was tracking of cumulative counts of coronavirus cases in the United States, at the state and county level, over time. Data are compiled from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Source: Authors’ tabulation based on New York Times (2021).

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    Figure 2.

    Public Opinion Responses from CSCS Panel

    Source: Authors’ calculations from the COVID-19 Social Change Survey (Redbird 2020; Bonilla, Harbridge-Yong, and Redbird 2021; Redbird, Bonilla, and Harbridge-Yong 2021).

    Notes: Panel A. In the past month, how often do you wear a mask? (0 = occasionally or never; 1 = always, most of the time, or sometimes). Includes leaning partisans, but not independents. Panel B. Have you gotten (at least) the first dose of the vaccine to prevent COVID-19? If not yet vaccinated, will you get the vaccine? (0 = probably will not get, definitely will not get; 1 = yes, have gotten, definitely will get, probably will get). Includes leaning partisans, but not independents. Panel C. How accurate is the information from the media on [Government response to the coronavirus or noncoronavirus topics]? (1 = very inaccurate; 5 = very accurate). Includes leaning partisans, but not independents. Panel D. “How much can people be trusted?” (1 = can’t really be trusted; 5 = can be trusted a lot).

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    Figure 3.

    Public Opinion Responses from CSCS Panel

    Source: Authors’ calculations from the COVID-19 Social Change Survey (Redbird 2020; Bonilla, Harbridge-Yong, and Redbird 2021; Redbird, Bonilla, and Harbridge-Yong 2021).

    Note: Panel A. How much of the time do you think you can trust the government in [Washington / your state government] to do the right thing? (1 = never; 5 = always). Includes leaning partisans, but not independents. Panel B. “I’m responsible for the well-being of my community.”; “It is important for people to look out for each other.” “We are all connected.”; “My actions have an effect on everyone around me.”; “I am deeply connected to my community.”; “My neighbors would help me if I needed it.”; “I feel like I belong in my community.” (1 = strongly disagree; 5 = strongly agree). Hispanic and Latino respondents coded as non-White. Scale Cronbach’s alpha = 0.787. Panel C. “On a scale of 1–10, how well does this trait describe [the other] party? [patriotic; mean; intelligent; honest; selfish; open-minded; generous; hypocritical; places country over party]”; “On a scale of 1–10, how comfortable are you having [a member of the other party as]? [a neighbor; a friend; married to your child]”. Includes leaning partisans, but not independents. Scale Cronbach’s alpha = 0.934. Panel D. “How trustworthy are conclusions by scientists? [eating healthy; dealing with the coronavirus; reopening the economy; climate change; space exploration; treating depression; growing the economy; detecting earthquakes]”. (1 = not at all trustworthy; 5 = very trustworthy). Includes leaning partisans, but not independents. Scale Cronbach’s alpha = 0.897.

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    Figure 4.

    Data Collection Timeline, by Author in This Issue

    Source: Authors’ tabulation.

    Notes: Dates represent period of primary COVID data collection. Background image is case counts from figure 1.

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RSF: The Russell Sage Foundation Journal of the Social Sciences: 8 (8)
RSF: The Russell Sage Foundation Journal of the Social Sciences
Vol. 8, Issue 8
1 Dec 2022
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The Social and Political Impact of the COVID-19 Pandemic: An Introduction
Beth Redbird, Laurel Harbridge-Yong, Rachel Davis Mersey
RSF: The Russell Sage Foundation Journal of the Social Sciences Dec 2022, 8 (8) 1-29; DOI: 10.7758/RSF.2022.8.8.01

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The Social and Political Impact of the COVID-19 Pandemic: An Introduction
Beth Redbird, Laurel Harbridge-Yong, Rachel Davis Mersey
RSF: The Russell Sage Foundation Journal of the Social Sciences Dec 2022, 8 (8) 1-29; DOI: 10.7758/RSF.2022.8.8.01
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  • Article
    • Abstract
    • TIMELINE OF THE COVID-19 PANDEMIC
    • MEDIA, PUBLIC OPINION, AND THE SALIENT DYNAMICS OF COVID-19
    • THREE CORE THEMES: INFORMATION, INEQUALITY, AND GOVERNMENT RESPONSES
    • FOOTNOTES
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Keywords

  • COVID-19
  • information
  • inequality
  • policy
  • civic

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