Date of Award
7-8-2015
Document Type
Thesis
Degree Name
Master of Arts (MA)
Specialization
Communication and Leadership
School or Department
School of Leadership Studies
First Advisor
Dr. Michael Hazel
Second Advisor
Dr. Kristina Morehouse
Abstract
The increasing levels of political polarization in America have communication scholars, political scientists, and media pundits alike examining the causes of this trend, many of whom look to blame the proliferation of partisan media for this societal ill. An abundance of research exists on the effects of selective exposure to partisan media and the rise of political polarization in America today, thus, this thesis explores how partisan selective exposure and political polarization are related through a modified qualitative meta-analysis of existing research on these two topics. The social identity (Tajfel & Turner, 1986) and social comparison (Festinger, 1954) theories provide the theoretical framework for this study. Central to the relationship are four main themes: 1) Evidence suggests that partisan selective exposure contributes to political polarization, 2) American political elites are polarized, 3) Most Americans are tuned to something other than the news and thus, are not politically polarized by partisan media, 4) Politically engaged partisans, those who occupy the fringes of the American electorate and yet, wield immense political influence, are the most polarized by selective exposure to partisan media. The findings of this meta-analysis suggest that increased polarization of politically engaged partisans due to these factors has serious implications for our nation’s democratic processes. Further research is needed to explore the effects of a tuned out American electorate and how to re-engage them in a national political conversation.
Recommended Citation
Thornal, Kaitlin Marie, "Partisan Media and Polarized Politics: A Meta-Analysis of the Relationship Between Partisan Selective Exposure and Political Polarization" (2015). Communication & Leadership Dissertations and Theses. 366.
https://repository.gonzaga.edu/comlead_etds/366

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