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dc.contributor.advisorThomas, Herschel F
dc.creatorOwens, Ian Trevor
dc.date.accessioned2019-02-26T22:22:27Z
dc.date.available2019-02-26T22:22:27Z
dc.date.created2018-12
dc.date.issued2018-12-06
dc.date.submittedDecember 2018
dc.identifier.urihttp://hdl.handle.net/10106/27784
dc.description.abstractScholars have found that an environment that appears increasingly polarized in the United States has been accompanied by a decline in institutional trust over several decades. Scholarship involving partisanship and trust suggests that out-party groups are less receptive to political messages than in-groups. In the wake of the false emergency alert in Hawaii that sent citizens into a panic for 38 minutes, messaging and nuclear issues remain a salient topic for study. This thesis presents the results of an experiment (N = 2,310) investigating how political trust is influenced by the partisan interpretation of a message. Survey respondents were presented with treatment messages from varied political sources and then asked a posttest question regarding diffuse trust in government. Results demonstrate that partisanship is a strong factor that affects how people interpret a message, even in the event of a large-scale disaster. The findings suggest that partisanship and preferences for or against authoritarianism influence trust and message interpretation.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectPartisanship
dc.subjectPolarization
dc.subjectPolitical trust
dc.subjectNuclear fear
dc.subjectMessage processing
dc.subjectAuthoritariansm
dc.subjectAuthoritarian personality
dc.subjectPolitical psychology
dc.titlePolarization and Nuclear Fear: How Partisan Message Processing Affects Public Trust in Government
dc.typeThesis
dc.degree.departmentPolitical Science
dc.degree.nameMaster of Arts in Political Science
dc.date.updated2019-02-26T22:24:36Z
thesis.degree.departmentPolitical Science
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts in Political Science
dc.type.materialtext


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