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When do politicians choose to upset the apple cart? The fairness-loyalty trade-off in whistleblowing

Published online by Cambridge University Press:  14 May 2026

Stephen Dawson*
Affiliation:
Department of Political Science, University of Gothenburg, Sweden
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Abstract

Whistleblowing is increasingly viewed as a valuable mechanism to root out misconduct and corruption, yet we know very little about the conditions under which it is used in political parties. Building upon literature from social psychology, this study argues that the decision to blow the whistle on party colleagues is the outcome of a trade-off between two basic moral values that are particularly acute in the case of politicians: fairness and loyalty. Using a novel pre-registered survey experiment with over 1,000 Swedish politicians, this paper establishes that priming values of fairness can increase a politician’s willingness to blow the whistle against fellow party members. However, priming values of loyalty has no effect on whistleblowing intentions relative to control conditions. Results also suggest that severe misconduct is more likely to be reported only when it was committed by an individual rather than the party collectively, and that the party’s inaction is the biggest cause of external whistleblowing. The results of this study have significant implications for our understanding of the impact of organisational cultures and accountability on the behaviour of politicians.

Information

Type
Research 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 (https://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 European Consortium for Political Research
Figure 0

Figure 1. Coefficient plot of the effect of fairness and loyalty primes on whistleblowing intention. The dependent variable is the likelihood of reporting misconduct, averaged across all channels and scenarios. Confidence intervals, calculated from standard errors clustered at the party level, are represented by vertical lines at the 90% (thick) and 95% (thin) levels. The horizontal dashed red line represents the control group. Numerical results can be found in Table A8.

Figure 1

Figure 2. A bar plot illustrating the mean likelihood of whistleblowing across misconduct type (referring to an individual or the party) and severity. WB (whistleblowing) likelihood is the average value across all reporting channels. The dependent variable is on a 1–7 scale.

Figure 2

Figure 3. Coefficient plot of the effect of fairness and loyalty primes on whistleblowing intention across levels of misconduct severity (left-hand panel) and reporting channel (right-hand panel). The dependent variable is the likelihood of reporting misconduct, averaged across relevant channels and scenarios at the respondent level (1–7). Confidence intervals, calculated from standard errors clustered at the party level, are represented by vertical lines at the 90% (thick) and 95% (thin) levels. The horizontal dashed red line represents the control group. Numerical results can be found in Table A8.

Figure 3

Figure 4. These plots show the mean internal (top row) and external (bottom row) whistleblowing likelihood for each experimental group. The two dots in each panel demonstrate the average reporting likelihood in the initial phase and follow-up phase (i.e., when the party is said not to have responded to the initial report). Vertical solid lines represent 95% confidence intervals. The dashed line between the two points illustrates the change in likelihood of reporting from one phase to the other. Numerical results can be found in Tables A9 and A10.

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Dawson Dataset

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