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Pandemic Politics: Immigration, Framing, and Covid-19

Published online by Cambridge University Press:  14 June 2023

Justin Reedy
Affiliation:
Department of Communication, University of Oklahoma, Norman, OK, USA
Benjamin Gonzalez O’Brien*
Affiliation:
Department of Political Science, San Diego State University, San Diego, CA, USA
Elizabeth H. Hurst
Affiliation:
Center for Applied Social Research, University of Oklahoma, Norman, OK, USA
*
Corresponding author: Benjamin Gonzalez O’Brien; Email: bgonzalezobrien@sdsu.edu

Abstract

The covid-19 pandemic has revived a longstanding, and understudied, trope in American politics: the association of immigrants with disease. There has been a great deal of scholarship on the economic, cultural, and criminal threat frames attached to immigrant groups in media coverage, but little to date has specifically examined how national and local sources have framed covid-19 in the context of immigrant communities. In this paper we analyze the prevalence of two different framings of the pandemic in national and local online news outlets over the first year of the pandemic: immigration as a public health threat to the nation, and covid-19 as a threat to immigrant communities within the nation. We find significant differences between national and local coverage, with the former more likely to frame immigration as a covid-19 threat, while local news outlets were more likely to discuss the threat the virus posed to already marginalized immigrant communities.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Race, Ethnicity, and Politics Section of the American Political Science Association
Figure 0

Figure 1. Entman, and Usher’s (2018) Updated Model

Figure 1

Table 1. Sample Sizes by Source

Figure 2

Figure 2. Local news sources coded by county voting patterns (Red = Republican; Blue = Democratic).

Figure 3

Figure 3. Framing of Covid-19 in Nationally Circulated Newspapers

Figure 4

Figure 4. Framing of Covid-19 in Nationally Circulated Newspapers, USAT National Only & USA Today National & Network Affiliates

Figure 5

Figure 5. Framing of Covid-19 in Local Papers (CA & TX)

Supplementary material: File

Reedy et al. supplementary material

Appendix

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