Public Perception of Democracy Amid Racial Demographic Change

Loading...
Thumbnail Image
Penn collection
Interdisciplinary Centers, Units and Projects::Center for Undergraduate Research and Fellowships (CURF)::Fall Research Expo
Degree type
Discipline
Political Science
Subject
Demographic Change, Democratic Attitudes
Funder
Grant number
Copyright date
2025-10
Distributor
Related resources
Author
Thompson, Andrew
Wickham, Samantha
Bhatia, Tejas
Contributor
Abstract

Dr. Andrew Thompson’s research examines how public perceptions of racial demographic change shape democratic and anti-democratic sentiments in the United States. Building on this foundation, our project investigated how such perceptions influence partisan identification as well as contribute to extremist rhetoric. Using experimental survey data, we tested the effects of racial threat primes—information about shifting racial demographics—on party affiliation as an outcome variable. Results indicated that demographic change narratives shift partisan identification, with Latino respondents leaning more Democratic and Asian respondents identifying more with the Republican Party.

Complementing this quantitative analysis, we conducted a thematic study of white supremacist discourse on the website Stormfront, focusing on reactions to Barack Obama’s 2008 election and comparing them with a concurrent analysis of Tea Party rhetoric. We found common themes of resistance to minority-focused government programs, portrayals of Obama as advancing unjust reparations, and calls to organize against political elites.

Together, these findings illustrate how narratives of racial demographic change can reinforce anti-democratic attitudes, shaping both everyday political identification and extremist mobilization.

Advisor
Date of presentation
2025-08-15
Conference name
Conference dates
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
This project was supported with funding from the Penn Undergraduate Research Mentoring (PURM) program.
Recommended citation
Collection