Vulnerability Appeals in the Covid-19 Pandemic
Insights from a National Survey Experiment
Bibliographic Data
| ID | 6435273 |
|---|---|
| Authors | John Larner (0000-0002-5171-8851, Cardiff University, corresponding author), Joshua Thorp (0000-0003-3835-291X, University of Michigan) |
| Year | 2024 |
| Volume | 12 |
| Issue | 2 |
| Pages | 1-16 |
| Publication date | 2024-10-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Experimental Political Science (JOURNAL) |
| Journal identifiers | ISSN: 2052-2630 • E-ISSN: 2052-2649 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/xps.2024.14 |
| OpenAlex | W4403948627 |
| Language | EN |
| References cited | 38 |
This study explores the impact of vulnerability appeals during the COVID-19 pandemic using a nationally representative, preregistered survey experiment ( N = 4,087) conducted in mid-2021. We explore whether providing citizens with information about the vulnerability of ethnic minority and disabled citizens to COVID-19 fosters empathy and increased support for behavioral restrictions. We observe minimal statistically significant or substantive effects, although the presence of subtle effects cannot be entirely ruled out. We identify some limited indications that individuals with disabilities exhibit increased support for restrictions when exposed to information about the vulnerability of disabled people to COVID-19, but these effects are inconsistent. Therefore, our findings provide limited evidence to confirm or rule out that using vulnerability appeals alone is effective for influencing public attitudes toward behavioral restrictions. The findings point toward avenues for future research, including a closer examination of heterogeneous responses to public health messaging among population subgroups
2019-20 coronavirus outbreak · Computer security · Coronavirus disease 2019 (COVID-19 · Geography · Outbreak · Pandemic · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Statistics · Survey data collection · Vulnerability (computing · Computer Science · Homelessness and Social Issues · Mathematics · Medicine · Racial and Ethnic Identity Research · Social and Intergroup Psychology · Virology
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| Highly cited | No |
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