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Examining How Narratives of Events Change Attitudes or Motivate Political Participation: The Case of Police Violence

Published online by Cambridge University Press:  19 January 2026

Leah Christiani*
Affiliation:
Political Science, Hunter College CUNY, New York, NY, USA
Lane Cuthbert
Affiliation:
University of Massachusetts Amherst, Amherst, MA, USA
Kelsey Shoub
Affiliation:
University of Massachusetts Amherst, Amherst, MA, USA
*
Corresponding author: Leah Christiani; Email: leahchristianiphd@gmail.com

Abstract

Media attention to policing has brought a proliferation of narratives seeking to contextualize incidents of police violence. Here, we test whether exposure to such narratives shift Americans’ opinion or behavior. To do so, we first identify and track the media prevalence of two of these narratives: one focused on racial bias in policing and a second focused on the dangers of the profession. Despite the presence of these narratives in media, we find, experimentally, that public opinion about police violence is stable, regardless of the media narrative used. Finally, to better understand these null results, we use a content analysis of open-ended responses to uncover the demographic and ideological characteristics that are most more deterministic of their reactions to police violence. Altogether, these findings indicate attitudes about policing and planned political participation are ossified and unresponsive to media narratives.

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 the Race, Ethnicity, and Politics Section of the American Political Science Association
Figure 0

Figure 1. Number of articles over time.

Figure 1

Figure 2. Proportion of articles over time.

Figure 2

Figure 3. Snapshots of each experimental condition.Note: The titles, bylines, dates, and start of each story in each condition are shown here. Due to space constraints the full story in each condition is not included. For the full text, please see the appendix. The first heading is the control, the second is the “no narrative” condition, the third is the “systemic racism” condition, and the fourth is the “justified cop” condition.

Figure 3

Figure 4. Framing of the story of a police killing does not shift attitudes, on average.Note: The “Group” indicates which conditions are statistically significantly different from one another. “a” means that the condition or conditions are statistically significantly different from those in group “b” at the 0.05 level or less. “ab” means that the condition is not statistically significantly different from either group “a” nor those in group “b”. “NS” means that there no statistically significant differences between any conditions.

Figure 4

Figure 5. Effects of framing on respondents’ planned participation, by race.Note: There are no statistically significant differences between any conditions.

Figure 5

Figure 6. Effects of framing on white respondents’ planned participation, by racial attitudes.Note: The “Group” indicates which conditions are statistically significantly different from one another. “a” means that the condition or conditions are statistically significantly different from those in group “b” at the 0.05 level or less. “ab” means that the condition is not statistically significantly different from either group “a” nor those in group “b.” “NS” means that there are no statistically significant differences between any conditions.

Figure 6

Figure 7. Effects of framing on respondents’ planned participation, by party identification.Note: The “Group” indicates which conditions are statistically significantly different from one another. “a” means that the condition or conditions are statistically significantly different from those in group “b” at the 0.05 level or less. “ab” means that the condition is not statistically significantly different from either group “a” nor those in group “b.” “NS” means that there are no statistically significant differences between any conditions.

Figure 7

Figure 8. Evaluating whether respondents passed the manipulation checks.

Figure 8

Figure 9. Were the narratives in the treatment conditions mentioned by respondents?

Figure 9

Figure 10. Who accepted and who rejected each narrative if they mentioned it?.Note: Based on two difference of proportion tests, differences by race for both narratives are statistically distinct (Systemic Racism: p < 0.01; Justified Cop: p = 0.03). Difference of proportions tests comparing Democrats to Republicans reveal statistically significant differences for the systemic racism narrative (p < 0.01) but not for the justified cop narrative (p = 0.17). Chi-squared tests by party identification reveal the same pattern (Systemic Racism: p < 0.01; Justified Cop: p = 0.16).

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