When Do Voters Punish Politicians Who Violate Democratic Norms
Bibliographic Data
| ID | 6180201 |
|---|---|
| Authors | Albert H Fang (0000-0001-6265-5967, Independent Researcher, New York, NY, USA), Adam Thal (0000-0001-5004-5950, Loyola Marymount University, corresponding author) |
| Year | 2024 |
| Volume | 52 |
| Issue | 2 |
| Pages | 112-117 |
| Publication date | 2024-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Politics Research (JOURNAL) |
| Journal identifiers | ISSN: 1532-673X • E-ISSN: 1552-3373 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1532673x231220646 |
| OpenAlex | W4390142799 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
Democracy requires voters to hold politicians accountable for violating democratic norms. Events surrounding Donald Trump have shown how partisanship can interfere with this process. While Trump has been accused of violating democratic norms, Republicans have opposed efforts to hold him accountable. Using a survey experiment, we explore the conditions under which Republican voters might become more willing to hold Trump accountable for violating democratic norms. We focus on whether Republicans can be convinced by members of their own party that Trump should be held accountable. Our research thus speaks to whether Republican voters might be receptive to appeals from Republican elites like Liz Cheney and Mitt Romney who have criticized Trump. We find more evidence than prior work that Republicans are receptive to appeals from co-partisans who are critical of Trump’s behavior. However, our overall finding is that co-partisan appeals are not highly effective at changing Republicans’ views of Trump
Democracy · Law and economics · Political economy · Political science · Politics · Sociology · Electoral Systems and Political Participation · Experimental Behavioral Economics Studies · Law
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |