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Racial Liberalism Resurgent: Connecting Multi-Racial Protests and Electoral Politics Today

Published online by Cambridge University Press:  14 December 2020

Sanford F. Schram*
Affiliation:
City University of New York
Richard C. Fording
Affiliation:
University of Alabama
*
Address correspondence and reprint requests to: Sanford F. Schram, Hunter College, City University of New York, New York, NY, USA. E-mail: sanford.schram@hunter.cuny.edu

Abstract

In this paper, we consider the changing nature of today's protest–election connection by looking back to the Blue Wave of the 2018 midterm elections that led to Republicans losing control of the House of Representatives. We ask whether White voters' participation in the Blue Wave of the 2018 elections is related to the multi-racial participation in the #BlackLivesMatter protests of 2020. Could it be that White participation in both is symptomatic of a larger resurgence of racial liberalism that is likely to continue to play a significant role in our politics going forward starting with the 2020 election?

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of The Race, Ethnicity, and Politics Section of the American Political Science Association.
Figure 0

Figure 1. Mean hostility score by outgroup target and party identification, 2004–2018. Note: The figure plots the mean score for Whites for racial resentment, an anti-immigrant scale, and the feeling thermometer for Muslims (reverse-scaled), all rescaled to range from 0 to 1. The samples are based on White respondents only, taken from the American National Election Time Series Study (2004–2016) and the 2018 ANES Pilot Study. See the Supplementary Appendix for additional measurement details.

Figure 1

Figure 2. Effect of outgroup hostility on support for Donald Trump, 2016 versus 2018. Note: The figure displays the predicted level of warmth (and 95% confidence interval) toward Trump by outgroup hostility. Outgroup hostility is collapsed to a 6-point ordinal scale to allow for nonlinearity. Predicted Trump warmth values are computed based on a regression model which controls for party identification, ideology, economic evaluations, education, income, age, gender, and church attendance. Data sources include the 2016 ANES Time Series Study and the 2018 ANES Pilot Study (White respondents only). See the Supplementary Appendix for estimation and measurement details.

Figure 2

Figure 3. Effect of outgroup hostility on political participation, 2016 versus 2018. Note: The figure displays the predicted probability of participation (and 90% confidence interval) for six types of political activity surrounding the 2016 and 2018 elections by outgroup hostility. Predicted probabilities were computed based on a logistic regression model which controls for party identification, ideology, economic evaluations, the feeling thermometer for Donald Trump, education, income, age, gender, marital status, and church attendance. Data sources include the 2016 ANES Time Series Study and the 2018 ANES Pilot Study (White respondents only). See the Supplementary Appendix for estimation and measurement details.

Figure 3

Figure 4. Effect of outgroup hostility on changes in voter turnout, 2016–2018. Note: The figure displays (1) the predicted probability (and 95% confidence interval) of voting in the 2018 general election among 2016 non-voters (Newly Mobilized) and (2) the predicted probability of not voting (and 95% confidence interval) in 2018 among 2016 voters (Demobilized) by outgroup hostility. Predicted probabilities were generated based on logistic regression models using validated turnout data for 2016 and 2018 from the 2018–2019 VOTER survey (White respondents only). The logistic regression models control for party identification, ideology, a social issues scale, the modern sexism scale, support for universal healthcare, evaluation of the economy, 2016–2018 change in family income, church attendance, marital status, education level, age, and gender.

Supplementary material: File

Schram and Fording supplementary material

Appendix

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