The Partisan Impact on Local Government Dissemination of Covid-19 Information
Assessing US County Government Websites
Bibliographic Data
| ID | 6236989 |
|---|---|
| Authors | Michael A Hansen (0000-0001-5116-5751, University of Wisconsin–Parkside, corresponding author), Isabelle Johansson (0000-0002-2148-5225), Kalie Sadowski (University of Wisconsin–Parkside), Joseph Blaszcynski (University of Wisconsin–Parkside), Sarah Meyer (0009-0006-3920-4424, University of Wisconsin–Parkside) |
| Year | 2021 |
| Volume | 54 |
| Issue | 1 |
| Pages | 150-162 |
| Publication date | 2021-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Canadian Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0008-4239 • E-ISSN: 1744-9324 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0008423920000918 |
| OpenAlex | W3093054241 |
| Language | EN |
| Citations received | 10 |
| References cited | 23 |
This study explores the relationship between local government dissemination of COVID-19 information and partisanship. The unit of analysis is all official county government websites in the United States. In particular, we investigate if there is a correlation between the overall partisanship of a county and whether a county government's website (1) mentions COVID-19 and (2) provides safety instructions concerning COVID-19. We hypothesize that mass partisanship will impact the probability that a county government's website provides information related to the coronavirus. We find that a larger share of Democratic voters in a county is associated with an increase in the probability that a county government's website mentions COVID-19 and provides safety instructions for its residents. The results hold even after controlling for population density, internet subscriptions and COVID-19 cases and deaths. The finding indicates that citizens’ access to information, even on matters of public health, are partially a consequence of partisanship
Business · Coronavirus disease 2019 (COVID-19 · Democracy · Environmental health · Government (linguistics · Information Dissemination · Political science · Politics · Population · Public opinion · Public relations · The Internet · World Wide Web · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Medicine · Misinformation and Its Impacts · Public Administration
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |