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REUNING, KEVIN
(2)
answer(s).
Srl
Item
1
ID:
176048
Estimating one-sided-killings from a robust measurement model of human rights
/ Fariss, Christopher J; Kenwick, Michael R ; Reuning, Kevin
Fariss, Christopher J
Journal Article
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Summary/Abstract
Counting repressive events is difficult because state leaders have an incentive to conceal actions of their subordinates and destroy evidence of abuse. In this article, we extend existing latent variable modeling techniques in the study of repression to account for the uncertainty inherent in count data generated for this type of difficult-to-observe event. We demonstrate the utility of the model by focusing on a dataset that defines ‘one-sided-killing’ as government-caused deaths of non-combatants. In addition to generating more precise estimates of latent repression levels, the model also estimates the probability that a state engaged in one-sided-killing and the predictive distribution of deaths for each country-year in the dataset. These new event-based, count estimates will be useful for researchers interested in this type of data but skeptical of the comparability of such events across countries and over time. Our modeling framework also provides a principled method for inferring unobserved count variables based on conceptually related categorical information.
Key Words
Human Rights
;
Repression
;
Measurement Model
;
Event Count
;
One-Sided Killing
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2
ID:
165856
Media Coverage, Public Interest, and Support in the 2016 Republican Invisible Primary
/ Reuning, Kevin ; Dietrich, Nick
Kevin Reuning and Nick Dietrich
Journal Article
0 Rating(s) & 0 Review(s)
Summary/Abstract
Donald Trump’s success in the 2016 presidential primary election prompted scrutiny for the role of news media in elections. Was Trump successful because news media publicized his campaign and crowded out coverage of other candidates? We examine the dynamic relationships between media coverage, public interest, and support for candidates in the time preceding the 2016 Republican presidential primary to determine (1) whether media coverage drives support for candidates at the polls and (2) whether this relationship was different for Trump than for other candidates. We find for all candidates that the quantity of media coverage had significant and long-lasting effects on public interest in that candidate. Most candidates do not perform better in the polls following increases in media coverage. Trump is an exception to this finding, receiving a modest polling bump following an increase in media coverage. These findings suggest that viability cues from news media contributed to Trump’s success and can be influential in setting the stage in primary elections.
Key Words
Public interest
;
Media Coverage
;
Donald Trump
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