Unconditional Support for Trump’s Resistance Prior to Election Day
Bibliographic Data
| ID | 6097124 |
|---|---|
| Authors | Brendan Hartnett (0000-0002-8018-3833, Tufts University), Alexandra Haver (New York Law School) |
| Year | 2022 |
| Volume | 55 |
| Issue | 4 |
| Pages | 661-667 |
| Publication date | 2022-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PS Political Science & Politics (JOURNAL) |
| Journal identifiers | ISSN: 1049-0965 • E-ISSN: 1537-5935 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1049096522000695 |
| OpenAlex | W4285729129 |
| Language | EN |
| Citations received | 2 |
| References cited | 15 |
Using survey data collected less than two weeks before the 2020 presidential election, we investigated why likely Trump voters would support Trump resisting the election results if he lost. We first used an experiment with randomized hypothetical popular-vote margins to test whether support for resistance was contingent on the results of the election. We also directly asked respondents who stated that they would support resistance to explain their reasoning in an open-ended response. In doing so, we gained insight into one of the most turbulent elections in American history and examined how support for resistance existed before the election due to both misinformation about voter fraud and hyperpartisanship that made Trump voters view the electoral process itself as illegitimate
Advertising · Business · Misinformation · Political science · Politics · Presidential election · Electoral Systems and Political Participation · Law · Media Influence and Politics · Misinformation and Its Impacts · Psychology · Social Psychology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |