Hostname: page-component-89b8bd64d-dvtzq Total loading time: 0 Render date: 2026-05-10T01:45:43.578Z Has data issue: false hasContentIssue false

Partisanship in the #MeToo Era

Published online by Cambridge University Press:  29 July 2021

Rights & Permissions [Opens in a new window]

Abstract

Partisanship structures mass politics by shaping the votes, policy views, and political perceptions of ordinary people. Even so, substantial shifts in partisanship can occur when elites signal clear differences on a political issue and attentive citizens update their views of party reputations. Mismatched partisans who strongly care about the issue respond by changing parties in a process of “issue evolution” when writ large. Others simply update their views to match their party in a “conflict extension” process. We build on these models by integrating the largely separate research strands of party issue ownership. Using sexual misconduct as a critical case study, we argue that partisan change can occur rapidly when party elites move strategically to take ownership of an issue, thereby clarifying differences between the parties. Using a quasi-experiment, a survey experiment, and data from dozens of national surveys, we find recent, rapid shifts in party reputations on #MeToo, views of the issue, party votes, and broader party support.

Information

Type
Special Section: Women, Representation & Politics
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1 Issue ownership, issue evolution, and rapid realignment

Figure 1

Table 1 Party reputations on sexual harassment

Figure 2

Figure 2 Kavanaugh hearings and issue ownership (Survey Experiment)Note: Posthoc predicted probabilities. Party identification is included as a control. See online appendix 2A for full model. Error bars indicate 95% confidence intervals.

Figure 3

Table 2 Party ownership evaluations among low-information respondents (Survey Experiment)

Figure 4

Figure 3 Polling data over timeNote: The figure presents the post-hoc predicted difference between Democrats and Republicans from a model predicting views of sexual harassment with controls for party, gender, year, and party interacted with year, with clustered errors at the survey level. See online appendix A3 for full list of surveys and questions, full results of the model that produced results for the graph, and gender effects.

Figure 5

Figure 4 Party affect by #MeToo viewsNote: Post-hoc predicted probabilities from ordinary least squares regression models predicting affect towards Democratic Party and Republican Party on a 1-4 scale with controls for party ID, gender, race, education, age, whether someone has children and is married, their employment status, income, sexism, racial resentment, and views of the country headed in the right or wrong direction. Full results are available in online appendix A4. Error bars are 95% confidence intervals.

Figure 6

Figure 5 Vote preference by candidate behavior (KFF data)Note: Data from Kaiser Family Foundation Health Survey, July 2015. N = 1000. Post-hoc predicted probabilities from logistic regression models predicting response that they would vote for the candidate who is an outspoken supporter of the MeToo Movement, with controls for gender, race, education, whether someone is married, their employment status, and income and survey weights. Full results are available in online appendix A5. Error bars are 95% confidence intervals.

Figure 7

Table 3 Partisan voting loyalty in House elections by #MeToo party attitudes (CCES data)

Figure 8

Table 4 #MeToo views and party loyalty in voting for Congress (CCES data)

Figure 9

Figure 6 Party switching and MeToo favorabilityNote: Post-estimation predicted probabilities; OLS models with controls for race, education, age, children in the home, married, employed, income, racial resentment, and views of direction of country with survey weights. Full models are in online appendix A6. Error bars are 95% confidence intervals.

Supplementary material: Link

Holman and Kalmoe Dataset

Link
Supplementary material: File

Holman and Kalmoe supplementary material

Appendix A1-A5

Download Holman and Kalmoe supplementary material(File)
File 503.4 KB