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Selecting Out of “Politics”: The Self-Fulfilling Role of Conflict Expectation

Published online by Cambridge University Press:  16 February 2024

ERIC GROENENDYK*
Affiliation:
University of Memphis, United States
YANNA KRUPNIKOV*
Affiliation:
University of Michigan, United States
JOHN BARRY RYAN*
Affiliation:
University of Michigan, United States
ELIZABETH C. CONNORS*
Affiliation:
University of South Carolina, United States
*
Corresponding author: Eric Groenendyk, Professor, Department of Political Science, University of Memphis, United States, grnendyk@memphis.edu.
Yanna Krupnikov, Professor, Department of Communication and Media, University of Michigan, United States, yanna@umich.edu.
John Barry Ryan, Associate Professor, Department of Communication and Media, Department of Political Science, University of Michigan, United States, ryanjb@umich.edu.
Elizabeth C. Connors, Assistant Professor, Department of Political Science, University of South Carolina, United States, connors4@mailbox.sc.edu.
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Abstract

In recent decades, the term “politics” has become almost synonymous with conflict. Results from eight studies show that individuals averse to conflict tend to select out of surveys and discussions explicitly labeled as “political.” This suggests that the inferences researchers draw from “political” surveys, as well as the impressions average Americans draw from explicitly “political” discussions, will be systematically biased toward conflict. We find little evidence that these effects can be attenuated by emphasizing deliberative norms. However, conflict averse individuals are more willing to discuss ostensibly political topics such as the economy, climate change, and racial inequality, despite reluctance to discuss “politics” explicitly. Moreover, they express greater interest in politics when it is defined in terms of laws and policies and debate is deemphasized. Overall, these findings suggest the expectation of conflict may have a self-fulfilling effect, as contexts deemed explicitly “political” will be composed primarily of conflict seekers.

Information

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Table 1. Study Samples and Designs

Figure 1

Figure 1. Survey Defection Rates by ConditionNote: Figure shows percent defection across the four experimental conditions—estimates derived from a logit model interacting treatments. Treating low and high contentiousness conditions as separate tests, differences between the entertainment and politics conditions are significant when contentiousness is low (p = 0.03) and approach significance when contentiousness is high (p = 0.13). The product term on the interaction effect is not statistically significant (p = 0.63). When analyzed in a single logit model without interacting treatments, politics is significant (p = 0.01), while contentiousness is not (p = 0.67). See Supplementary material S1.1 for full results table.

Figure 2

Figure 2. The Effect of Politics on Dinner AttendanceNote: Each bar represents the percentage of people in an experiment condition who selected the dinner invitation. Estimates are calculated from a logit model with the treatments and an interaction between the treatments. Significantly fewer people accepted the dinner invitation when the topic of discussion was politics (p < 0.01). The prompt condition never reaches statistical significance (p = 0.84 in movie condition and p = 0.85 in politics condition). See Supplementary material S2.1 for full coefficient estimates.

Figure 3

Figure 3. Conflict Avoidance Levels Among Those Who Choice Political/Non-Political SurveyNote: Bars represent percentage of respondents who were conflict avoidant among those who selected a particular survey. Those who select “none of the above” are included among those who chose the non-political survey, but the results are substantively similar if “none of the above” is excluded. The title of the politics survey was experimentally manipulated, but those conditions are combined for this analysis. Due to self-selection, the composition of the political group was significantly less conflict avoidant/more conflict seeking compared to the non-political group in both studies (p < 0.01). Additional results are in Supplementary materials S3.1 and S4.1.

Figure 4

Figure 4. The Effect of the Politics Treatment on Dinner CompositionNote: Acceptance rates for two experimental conditions among conflict avoiders/seekers; the other experimental factor, which we discuss in the next section, is treated as a nuisance parameter. Estimates from a logit model which includes an interaction between politics treatment and conflict avoidance. Treatment differences: conflict avoidant: 22 percentage points, p < 0.01; conflict seeking: 0.04 percentage points, p = 0.327. See Supplementary material S2.3 for full coefficient estimates.

Figure 5

Figure 5. The Effect of Conflict Avoidance on Comfort with ConversationNote: Results are predicted levels of comfort from logit models each using comfort with a different topic as the dependent variable. Each model also controls for partisanship, ideology, religious attendance, age, gender, income, race, and education. Note that the Trump and politics models are based on a split sample design. Full coefficient estimates are in Supplementary material S5.1.

Figure 6

Figure 6. Comfort Level by Topic and Conflict AvoidanceNote: Y-axis is the percentage reporting comfort by condition and conflict orientation. Estimates are from logit models. Differences by conflict orientation are as follows: politics = 46.6 pp, p < 0.001; climate change = 9.4 pp, p = 0.086; racial inequality = 18 pp, p = 0.004; lobbying the government = 40.0 pp, p < 0.001. Differences in comfort level by condition, relative to the political baseline are as follows. Among the conflict seekers: climate change = −5.3 pp, p = 0.222; racial inequality = −13.2 pp, p = 0.001; lobbying the government = −12.8 pp, p = 0.002. Among conflict avoiders: climate change = 31.3 pp, p < 0.001; racial inequality = 12.7 pp, p = 0.096; lobbying the government = −8.1 pp, p = 0.302. Full coefficient estimates in Supplementary material S6.

Figure 7

Figure 7. Specifying the Meaning of “Politics” Influences Reported Interest in “Politics”Note: Y-axis represents the marginal effect of the various meanings of politics compared to the baseline. Estimates are from an OLS model with interest as the dependent variable coded from 1 to 5. For the lowest level of conflict avoidance, the predicted mean interest in the baseline condition is 3.7 compared to 3.6, 3.6, 3.4, and 3.7 for the law and policies, law and policies to address problems, debating law and policies, and debating law and policies to address problems treatments respectively. For the highest level of conflict avoidance, the predicted mean interest in the baseline condition is 2.2 compared to 2.7, 2.9, 2.1, and 2.2 for the law and policies, law and policies to address problems, debating law and policies, and debating law and policies to address problems treatments respectively. The model producing these effects is the second model in the table found in Supplementary material S7.

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