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How Exposure to Retrospective and Prospective Messages in Television Ads Shapes Voter Participation in Judicial Elections

Published online by Cambridge University Press:  16 June 2026

Marcy Shieh*
Affiliation:
Department of Politics, Government, and Law, University of Wisconsin-Whitewater, Whitewater, WI, USA
*
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Abstract

Do retrospective and prospective messages about judicial candidates influence participation in individual state high court races? To answer this question, I examine the effect of television ads for judicial candidates on ballot rolloff in state high court elections from 2000 to 2018. I find that increased exposure to ads with higher proportion of retrospective messages has diminishing returns, as more exposure to these ads increases the average rolloff per judicial election and per judicial race. Despite concerns about candidates announcing what they will do once they are elected, I find no relationship between prospective messages and voter participation given increased exposure to ads containing such messages. These results suggest that exposure to a candidate’s record may both mobilize and fatigue voters, and that concerns about prospective rhetoric may be exaggerated.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the State Politics and Policy Section of the American Political Science Association
Figure 0

Figure 1. Example of a storyboard for an ad from the dataset featuring retrospective messaging, with a focus on the Judge Jeff Hughes’ qualifications and experience to be a Louisiana Supreme Court justice and his opponent’s lack thereof.Figure 1. long description.

Figure 1

Table 1. Linear mixed-effect models with and without controls with dependent variables for average ballot rolloff and ballot rolloff per raceTable 1. long description.

Figure 2

Figure 2. Predicted average rolloff by proportion of retrospective focus and ad airings. “Very Low” represents a logarithm of 3, which is approximately 20 ad airings; “Low” represents a logarithm of 4, which is approximately 55 ad airings; “Medium” represents a logarithm of 5, which is approximately 148 ad airings; “High” represents a logarithm of 6, which is approximately 403 airings; “Very High” represents a logarithm of 7, which is approximately 1,096 airings.Figure 2. long description.

Figure 3

Figure 3. Predicted race rolloff by proportion of retrospective focus and ad airings. “Very Low” represents a logarithm of 3, which is approximately 20 ad airings; “Low” represents a logarithm of 4, which is approximately 55 ad airings; “Medium” represents a logarithm of 5, which is approximately 148 ad airings; “High” represents a logarithm of 6, which is approximately 403 airings; “Very High” represents a logarithm of 7, which is approximately 1,096 airings.Figure 3. long description.

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