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10 - The Effects of Ambiguity on Accountability

from Part IV - Blame Avoidance and the Future of Democratic Representation

Published online by Cambridge University Press:  29 May 2026

Christina J. Schneider
Affiliation:
University of California, San Diego
Robert Thomson
Affiliation:
University of Hong Kong

Summary

Chapter 10 examines how ambiguity in campaign promises affects electoral accountability. Building on the previous chapter’s findings that political parties often employ vague language to manage constraints, this chapter evaluates whether such ambiguity allows parties to avoid punishment when pledges are unfulfilled. Drawing on a combination of original survey experiments and cross-national observational data, the analysis shows that voters are generally less likely to punish broken promises when they were made ambiguously. Ambiguity thus serves as a strategic tool that helps parties obscure responsibility and minimize electoral costs, highlighting the trade-off between strategic communication and democratic responsiveness.

Information

Figure 0

Figure 10.1 Voter confidence about the politician’s vote

Note: The figure graphs a histogram for respondents’ confidence about the candidate’s vote on tax incentives for large companies.
Figure 1

Figure 10.2 Main experimental resultsFigure 10.2 long description.

Note: Difference-between-means tests that compare average responses concerning Politician Likeability for a sample where the politician makes a vague promise to a sample where the politician makes a concrete promise. The top graph refers to the sample where the politician keeps his promise and votes in line with respondents’ preferences, and respondents did not receive the globalization treatment. The middle graph refers to the sample where the politician breaks his promise and votes against respondents’ preferences, and respondents do not receive the globalization treatment. The bottom graph refers to the sample where the politician breaks his promise and votes against respondents’ preferences, and respondents receive the globalization treatment. For each graph, the top row refers to the treatment where the politician’s promise is vague; the bottom row refers to the treatment where the politician’s promise is concrete. The graph shows the means for each sample using a light gray square, including 95 percent confidence intervals, as well as a histogram with information on sample distribution at various values of the dependent variable along the x-axis, here Politician Likeability.
Figure 2

Figure 10.3 Is vagueness better than ambivalence?Figure 10.3 long description.

Note: Difference-between-means tests that compare average responses concerning Politician Likeability for a sample where the politician makes vague statements to a sample where the politician makes ambivalent statements. The top graph, “Politician keeps promise,” refers to the sample where the politician keeps his promise (votes in line with respondents’ preferences), and respondents do not receive the globalization treatment. The middle graph, “Politician breaks promise,” refers to the sample where the politician breaks his promise (votes against respondents’ preferences), and respondents do not receive the globalization treatment. The bottom graph, “Politician breaks promise after globalization shock,” refers to the sample where the politician breaks his promise and respondents receive the globalization treatment. For each graph, the top row refers to the treatment where the politician’s statements are ambivalent; the bottom row refers to the treatment where the politician’s statements are vague. The graph shows the means for each sample using a light gray square, including 95 percent confidence intervals, as well as a histogram with information on sample distribution at various values of the dependent variable along the x-axis, here Politician Likeability.

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