Sorry not sorry: Presentational strategies and the electoral punishment of corruption
A growing literature has explored various factors that hamper the electoral punishment of corruption. Most studies have focused on how voters react to a corruption allegation, but this focus leaves out an important, common aspect of corruption allegations that voters also encounter: politicians'...
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sg-smu-ink.soss_research-53162024-10-18T00:47:27Z Sorry not sorry: Presentational strategies and the electoral punishment of corruption DULAY, Dean C. LEE, Seulki A growing literature has explored various factors that hamper the electoral punishment of corruption. Most studies have focused on how voters react to a corruption allegation, but this focus leaves out an important, common aspect of corruption allegations that voters also encounter: politicians' blame avoidance strategies. This study examines how politicians' presentational strategies in response to corruption allegations affect voter sanctioning. Employing an online survey experiment on a sample of 3531 U.S. citizens, we find that politicians' action-oriented strategies, such as denying allegations, acknowledging a problem but denying responsibility, or acknowledging a problem and taking responsibility, are more effective than passive non-response. These three active strategies do not differ in their effectiveness. This result is robust to heterogenous levels of state-level corruption, partisan bias, and political knowledge. Our findings suggest that politicians’ presentational strategies may undermine political accountability for corruption, although they do not fully counteract the effect of corruption on voting intentions. 2024-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/4058 info:doi/10.1016/j.electstud.2024.102867 https://ink.library.smu.edu.sg/context/soss_research/article/5316/viewcontent/SorryNotSorry_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Political Science |
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A growing literature has explored various factors that hamper the electoral punishment of corruption. Most studies have focused on how voters react to a corruption allegation, but this focus leaves out an important, common aspect of corruption allegations that voters also encounter: politicians' blame avoidance strategies. This study examines how politicians' presentational strategies in response to corruption allegations affect voter sanctioning. Employing an online survey experiment on a sample of 3531 U.S. citizens, we find that politicians' action-oriented strategies, such as denying allegations, acknowledging a problem but denying responsibility, or acknowledging a problem and taking responsibility, are more effective than passive non-response. These three active strategies do not differ in their effectiveness. This result is robust to heterogenous levels of state-level corruption, partisan bias, and political knowledge. Our findings suggest that politicians’ presentational strategies may undermine political accountability for corruption, although they do not fully counteract the effect of corruption on voting intentions. |
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text |
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DULAY, Dean C. LEE, Seulki |
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DULAY, Dean C. LEE, Seulki |
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DULAY, Dean C. |
title |
Sorry not sorry: Presentational strategies and the electoral punishment of corruption |
title_short |
Sorry not sorry: Presentational strategies and the electoral punishment of corruption |
title_full |
Sorry not sorry: Presentational strategies and the electoral punishment of corruption |
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Sorry not sorry: Presentational strategies and the electoral punishment of corruption |
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Sorry not sorry: Presentational strategies and the electoral punishment of corruption |
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sorry not sorry: presentational strategies and the electoral punishment of corruption |
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Institutional Knowledge at Singapore Management University |
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2024 |
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https://ink.library.smu.edu.sg/soss_research/4058 https://ink.library.smu.edu.sg/context/soss_research/article/5316/viewcontent/SorryNotSorry_av.pdf |
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