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WHOSE LIVES MATTER?

The National Newsworthiness of Police Killing Unarmed Blacks

Published online by Cambridge University Press:  01 February 2018

Alicia D. Simmons*
Affiliation:
Department of Sociology and Anthropology, Colgate University
*
*Corresponding author: Professor Alicia D. Simmons, Department of Sociology and Anthropology, Colgate University, 13 Oak Drive, Hamilton, NY 13346. E-mail: asimmons@colgate.edu
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Abstract

This study investigates the characteristics of cases of police killing unarmed Blacks that receive national news coverage. I analyze an original quantitative dataset measuring the parameters of 111 cases occurring between 2013 and 2015, and the amount of coverage they received in six national news outlets. Multivariate models indicate that cases’ national newsworthiness is positively associated with Blacks’ share of the population where the fatal encounter occurred, and the presence of video evidence, peaceful demonstrations, or civil lawsuits. National newsworthiness is negatively associated with encounters that were initiated by a call to police, and those involving decedents who resisted arrest, suffered electroshock injuries, or were impaired by drugs or alcohol. The findings strongly suggest that the most newsworthy cases are those that align with an injustice frame. I discuss the results using theories of newsworthiness, describing how patterns of story availability and story suitability might shape which cases rise to the top of the national agenda. Using the social construction of reality approach, I discuss the implications of the results for how the public understands the empirical nature of police killing unarmed Blacks, and the symbolic meaning of these events.

Information

Type
State of the Art
Copyright
Copyright © Hutchins Center for African and African American Research 2018 
Figure 0

Table 1. Social Structural Context Univariates and Bivariates

Figure 1

Table 2. Event Characteristics Univariates and Bivariates

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Table 3. Decedent Traits Univariates and Bivariates

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Table 4. Officer Traits Univariates and Bivariates

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Table 5. Flywheel Characteristics Univariates and Bivaraiates

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Table 6. Selected Amount of Coverage Univariates and Bivariates

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Table 7. Integrated Model Regressions