FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Insights from the Field

Argentina Replicates: All Citizens Heed Reliable Corruption Information


Information Credibility
Argentina Corruption
Political Sophistication
Partisan Bias
Latin American Politics
PSR&M
1 R files
1 Stata files
1 datasets
Dataverse
Information Credibility and Responses to Corruption: A Replication and Extension in Argentina was authored by Matthew Winters and Rebecca Weitz-Shapiro. It was published by Cambridge in PSR&M in 2020.

Existing studies reveal that survey respondents are sensitive to

information sources regarding political corruption. This sensitivity appears stronger

among politically sophisticated citizens.

In a nationwide survey across Argentina, we successfully replicate findings initially

observed in Brazil, suggesting robustness of these results beyond specific contexts.

Moreover, this research investigates whether partisan identity influences how

citizens process information about corruption origins.

* Data & Methods: Nationwide survey replicating prior cross-national work;

investigation across diverse citizen types (copartisans, opposition partisans,

non-partisans).

Key Findings:* Contrary to expectations, all groups (regardless of sophistication

or partisan identity) show similar responsiveness to credible corruption information.

Citizens uniformly demonstrate awareness and weighting based on source credibility.

This finding challenges the notion that political sophistication is necessary for

source evaluation regarding corruption.

* Why It Matters: Demonstrates widespread sensitivity to information quality even

about highly politicized topics like corruption. The results highlight a consistent

citizen behavior across different political identities, simplifying previous models of

information processing.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
Political Science Research & Methods
Podcast host Ryan