You’re Fired! Donald Trump and the 2020 Congressional Elections
| Autor: | Spencer Hardin, Jamie L. Carson, Aaron A. Hitefield |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sociology and Political Science
Presidential election Descriptive statistics Download 05 social sciences Warranty General Social Sciences Context (language use) Turnout 050601 international relations 0506 political science Primary election Law General election Political science 050602 political science & public administration |
| Zdroj: | The Forum. 18:627-650 |
| ISSN: | 1540-8884 2194-6183 |
| Popis: | The 2020 elections brought to an end one of the most divisive and historic campaigns in the modern era Former Vice President Joe Biden was elected the 46th President of the United States with the largest number of votes ever cast in a presidential election, defeating incumbent President Donald Trump in the process The record turnout was especially remarkable in light of the ongoing pandemic surrounding COVID-19 and the roughly 236,000 Americans who had died of the virus prior to the election This article examines the electoral context of the 2020 elections focusing on elections in both the House and Senate More specifically, this article examines the candidates, electoral conditions, trends, and outcomes in the primaries as well as the general election In doing so, we provide a comprehensive descriptive analysis of the climate and outcome of the 2020 congressional elections Finally, the article closes with a discussion of the broader implications of the election outcomes on both the incoming 117th Congress as well as the upcoming 2022 midterm election [ABSTRACT FROM AUTHOR] Copyright of Forum (2194-6183) is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts ) |
| Databáze: | OpenAIRE |
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