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Citizens as Complicits: Distrust in Politicians and Biased Social Dissemination of Political Information

Published online by Cambridge University Press:  17 September 2020

TROELS BØGGILD*
Affiliation:
Aarhus University
LENE AARØE*
Affiliation:
Aarhus University
MICHAEL BANG PETERSEN*
Affiliation:
Aarhus University
*
Troels Bøggild, Associate Professor, Department of Political Science, Aarhus University, tboeggild@ps.au.dk.
Lene Aarøe, Associate Professor, Department of Political Science, Aarhus University, LeneAaroe@ps.au.dk.
Michael Bang Petersen, Professor, Department of Political Science, Aarhus University, michael@ps.au.dk.
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Abstract

Widespread distrust in politicians is often attributed to the way elites portray politics to citizens: the media, competing candidates, and foreign governments are largely considered responsible for portraying politicians as self-interested actors pursuing personal electoral and economic interests. This article turns to the mass level and considers the active role of citizens in disseminating such information. We build on psychological research on human cooperation, holding that people exhibit an interpersonal transmission bias in favor of information on the self-interested, antisocial behavior of others to maintain group cooperation. We posit that this transmission bias extends to politics, causing citizens to disproportionally disseminate information on self-interested politicians through interpersonal communication and, in turn, contributes to distrust in politicians and policy disapproval. We support these predictions using novel experimental studies, allowing us to observe transmission rates and opinion effects in actual communication chains. The findings have implications for understanding and accommodating political distrust.

Information

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Strategy- and Issue-Framed News Articles

Figure 1

Figure 2. Number of Words Transmitted (Panels A–B) and Percentage Transmitting Political Article (Panels C–D) by Frame Condition and Transmission Round

Note: Panels A and B display Epanechnikov kernel density plots: n = 393 (Panel A), n = 390 (Panel B), n = 389 (Panel C), and n = 383 (Panel D). The p-values in Panels C and D refer to the difference in the proportion choosing the political article in the issue frame and the strategy frame. All tests are two-sided.
Figure 2

Figure 3. Uni- and Bigrams Identified in Lasso Regression to Predict Recollection Condition

Note: Entries are uni- and bigrams identified in a lasso regression to predict the condition of the recollection. The size of the ngrams reflect the relative size of the coefficient for the ngram, standardized within round and condition.
Figure 3

Figure 4. Amount of Frame Content in Full Articles and First- and Second-Round Recollections by Frame Condition

Note: Error bars represent 95% confidence intervals; n (full news articles) = 725; n (round 1) = 634; n (round 2) = 624.
Figure 4

Table 1. Effect of Frame Condition and Transmission Round on the Amount of Frame Content

Figure 5

Table 2. Information Describing Politician’s Own Interests As Pathway Linking Frame Conditions and Number of Words Transmitted Using the ACME Approach

Figure 6

Figure 5. Trust in Politician (Upper Panel), Policy Support (Middle Panel), and Trust in Congress (Lower Panel) by Frame Condition and Transmission Round.

Note: Epanechnikov kernel density plot: n (upper panel) = 1.555, n (middle panel) = 1.555, n (lower panel) = 1.457. All tests are two sided.
Supplementary material: Link

Bøggild et al. Dataset

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Bøggild et al. supplementary material

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