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Affective polarization, local contexts and public opinion in America

Abstract

Affective polarization has become a defining feature of twenty-first-century US politics, but we do not know how it relates to citizens’ policy opinions. Answering this question has fundamental implications not only for understanding the political consequences of polarization, but also for understanding how citizens form preferences. Under most political circumstances, this is a difficult question to answer, but the novel coronavirus pandemic allows us to understand how partisan animus contributes to opinion formation. Using a two-wave panel that spans the outbreak of COVID-19, we find a strong association between citizens’ levels of partisan animosity and their attitudes about the pandemic, as well as the actions they take in response to it. This relationship, however, is more muted in areas with severe outbreaks of the disease. Our results make clear that narrowing of issue divides requires not only policy discourse but also addressing affective partisan hostility.

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Fig. 1: COVID-19 attitudes and behaviours, by party.
Fig. 2: COVID-19 attitudes and behaviours, by number of cases in a county.
Fig. 3: The relationship between partisan animosity and partisanship for all three dependent variables in a restricted model, with only the interaction between partisan animosity and partisanship controlling for logged cases in the county.
Fig. 4: Republicans with high partisan animosity are less worried about COVID-19 if there are few cases in the county.
Fig. 5: Republicans with high partisan animosity change fewer behaviours in response to COVID-19.
Fig. 6: Republicans with high partisan animosity are less supportive of policies combatting COVID-19 if there are few cases in the county.
Fig. 7: Marginal effect of high partisan animosity, by party and number of cases.

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Data availability

The data that support the findings of this study are available via Dataverse at https://doi.org/10.7910/DVN/H7AT3N.

Code availability

All code that supports the findings of this study are available via Dataverse at https://doi.org/10.7910/DVN/H7AT3N.

References

  1. Iyengar, S., Sood, G. & Lelkes, Y. Affect, not ideology: a social identity perspective on polarization. Public Opin. Q. 76, 405–431 (2012).

    Google Scholar 

  2. Finkel, E. J. et al. Political sectarianism in America: a poisonous cocktail of othering, aversion, and moralization. Science 370, 533–536 (2020).

    CAS  PubMed  Google Scholar 

  3. Partisan Antipathy: More Intense, More Personal (Pew Research Center, 2019); https://pewrsr.ch/3gGRfGp

  4. Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N. & Westwood, S. J. The origins and consequences of affective polarization in the United States. Annu. Rev. Polit. Sci. 22, 129–146 (2019).

    Google Scholar 

  5. Fiorina, M. Unstable Majorities: Polarization, Party Sorting, and Political Stalemate (Hoover Institution Press, 2017).

  6. Rogowski, J. & Sutherland, J. How ideology fuels affective polarization. Polit. Behav. 38, 485–508 (2016).

    Google Scholar 

  7. Levendusky, M. The Partisan Sort (Univ. of Chicago Press, 2009).

  8. Gollwitzer, A. et al. Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic. Nat. Hum. Behav. 4, 1186–1197 (2020).

    PubMed  Google Scholar 

  9. Tajfel, H. & Turner, J. in The Social Psychology of Intergroup Relations (eds Austin. W. G. & Worchel, S.) 33–47 (Brooks/Cole, 1979).

  10. Groenendyk, E. Competing motives in a polarized electorate: political responsiveness, identity defensiveness, and the rise of partisan antipathy. Polit. Psychol. 39, 159–171 (2018).

    Google Scholar 

  11. Iyengar, S. & Krupenkin, M. The strengthening of partisan affect. Polit. Psychol. 39, 201–218 (2018).

    Google Scholar 

  12. Huber, G. & Malhotra, N. Political homophily in social relationships: evidence from online dating behavior. J. Polit. 79, 269–283 (2017).

    Google Scholar 

  13. McConnell, C., Margalit, Y., Malhotra, N. & Levendusky, M. The economic consequences of partisanship in a polarized era. Am. J. Polit. Sci. 62, 5–18 (2018).

    Google Scholar 

  14. Shafranek, R. Political considerations in nonpolitical decisions: a conjoint analysis of roommate choice. Polit. Behav. https://doi.org/10.1007/s11109-019-09554-9 (2019).

  15. Lelkes, Y. & Westwood, S. J. The limits of partisan prejudice. J. Polit. 79, 485–501 (2017).

    Google Scholar 

  16. West, E. & Iyengar, S. Partisanship as a social identity: implications for polarization. Polit. Behav. https://doi.org/10.1007/s11109-020-09637-y (2020).

  17. Mason, L. Uncivil Agreement (Univ. of Chicago Press, 2018).

  18. Gentzkow, M., Shapiro, J. & Taddy, M. Measuring group differences in high‐dimensional choices: method and application to congressional speech. Econometrica 87, 1307–1340 (2019).

    Google Scholar 

  19. Lelkes, Y. Policy over party: comparing the effects of candidate ideology and party on affective polarization. Polit. Sci. Res. Methods https://doi.org/10.1017/psrm.2019.18 (2019).

  20. Lelkes, Y., Sood, G. & Iyengar, S. The hostile audience: the effect of access to broadband internet on partisan affect. Am. J. Polit. Sci. 61, 5–20 (2017).

    Google Scholar 

  21. Levendusky, M. How Partisan Media Polarize America (Univ. of Chicago Press, 2013).

  22. Lau, R. R., Andersen, D. J., Ditonto, T. M., Kleinberg, M. S. & Redlawsk, D. P. Effect of media environment diversity and advertising tone on information search, selective exposure, and affective polarization. Polit. Behav. 39, 231–255 (2017).

    Google Scholar 

  23. Levy, R. Social media, news consumption, and polarization: evidence from a field experiment. SSRN https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3653388 (2020).

  24. Pierce, D. & Lau, R. Polarization and correct voting in U.S. Presidential elections. Elect. Stud. 60, 102048 (2019).

    Google Scholar 

  25. Goren, P., Federico, C. & Kittilson, M. Source cues, partisan identities, and political value expression. Am. J. Polit. Sci. 53, 805–820 (2009).

    Google Scholar 

  26. Bakker, B., Lelkes, Y. & Malka, A. Understanding partisan cue receptivity: tests of predictions from the bounded rationality and expressive utility perspectives. J. Polit. 82, 1061–1077 (2020).

    Google Scholar 

  27. Nicholson, S. Polarizing cues. Am. J. Polit. Sci. 56, 52–66 (2012).

    Google Scholar 

  28. Tajfel, H. & Wilkes, A. Classification and quantitative judgment. Br. J. Psychol. 54, 101–114 (1963).

    CAS  PubMed  Google Scholar 

  29. Armaly, M. & Enders, A. The role of affective orientations in promoting perceived polarization. Polit. Sci. Res. Methods https://doi.org/10.1017/psrm.2020.24 (2020).

  30. Merkley, E. & Stecula, D. Party cues in the news: Democratic elites, Republican backlash, and the dynamics of climate skepticism. Preprint at https://osf.io/azrxm/ (2020).

  31. Milita, K., Ryan, J. B. & Simas, E. Nothing to hide, nothing to run, or nothing to lose: candidate position-taking in congressional elections. Polit. Behav. 36, 427–449 (2014).

    Google Scholar 

  32. Barber, M. & Pope, J. C. Does party trump ideology? Disentangling party and ideology in America. Am. Polit. Sci. Rev. 113, 38–54 (2019).

    Google Scholar 

  33. Lelkes, Y. Affective polarization and ideological sorting: a reciprocal, albeit weak, relationship. Forum 16, 67–79 (2018).

    Google Scholar 

  34. Bougher, L. The correlates of discord: identity, issue alignment, and political hostility in polarized America. Polit. Behav. 39, 731–762 (2017).

    Google Scholar 

  35. Webster, S. & Abramowitz, A. The ideological foundations of affective polarization in the U.S. electorate. Am. Polit. Res. 45, 621–647 (2017).

    Google Scholar 

  36. Lipsitz, K. & Pop-Eleches, G. The partisan divide in social distancing. SSRN https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3595695 (2020).

  37. Fowler, L., Kettler, J. & Witt, S. Democratic governors are quicker in responding to the coronavirus than Republicans. The Conversation https://theconversation.com/democratic-governors-are-quicker-in-responding-to-the-coronavirus-than-republicans-135599 (6 April 2020).

  38. Hart, P. S., Chinn, S. & Soroka, S. Politicization and polarization in COVID-19 news coverage. Sci. Commun. 42, 679–697 (2020).

    Google Scholar 

  39. McCarty, N. Polarization: What Everyone Needs to Know (Oxford Univ. Press, 2019).

  40. Gadarian, S., Goodman, S. & Pepinsky, T. Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic. Preprint at SSRN https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3562796 (2020).

  41. Allcott, H. et al. Polarization and public health: partisan differences in social distancing during COVID-19. J. Public Econ. 191, 104254 (2020).

    PubMed  PubMed Central  Google Scholar 

  42. Leeper, T. J. & Slothuus, R. Political parties, motivated reasoning, and public opinion formation. Polit. Psychol. 35, 129–156 (2014).

    Google Scholar 

  43. Mullinix, K. Partisanship and preference formation: competing motivations, elite polarization, and issue importance. Polit. Behav. 38, 383–411 (2016).

    Google Scholar 

  44. Groenendyk, E. & Krupnikov, Y. What motivates reasoning? A context-dependent theory of political evaluation. Am. J. Polit. Sci. https://doi.org/10.1111/ajps.12562 (2020).

  45. Druckman, J. The politics of motivation. Crit. Rev. 24, 199–216 (2012).

    Google Scholar 

  46. Bayes, R., Druckman, J., Goods, A. & Molden, D. When and how different motives can drive motivated political reasoning. Polit. Psychol. 41, 1031–1052 (2020).

    Google Scholar 

  47. Lerman, A. E. & McCabe, K. T. Personal experience and public opinion: a theory and test of conditional policy feedback. J. Polit. 79, 624–641 (2017).

    Google Scholar 

  48. Molden, D. C. & Higgins, E. T. in The Oxford Handbook of Thinking and Reasoning (eds Holyoak, K. J. & Morrison, R. G.) 390–412 (Oxford Univ. Press, 2012).

  49. Brambor, T., Clark, W. & Golder, M. Understanding interaction models: improving empirical analyses. Polit. Anal. 14, 63–82 (2006).

    Google Scholar 

  50. Kam, C. & Franzese, R. Modeling and Interpreting Interactive Hypotheses in Regression Analyses (Univ. of Michigan Press, 2009).

  51. Berry, W., Golder, M. & Milton, D. Improving tests of theories positing interaction. J. Polit. 74, 653–671 (2012).

    Google Scholar 

  52. Leeper, T. J. Interpreting regression results using average marginal effects with R’s margins. https://www.semanticscholar.org/paper/Interpreting-Regression-Results-using-Average-with-Leeper/9615c76bd5d81f7ebbbdac9714619863dc3a2337 (2018).

  53. Rieger, J. M. 40 times Trump said the coronavirus would go away. The Washington Post https://www.washingtonpost.com/video/politics/40-times-trump-said-the-coronavirus-would-go-away/2020/04/30/d2593312-9593-4ec2-aff7-72c1438fca0e_video.html (2 November 2020).

  54. Green, J., Edgerton, J. Naftel, D., Shoub, K. & Cranmer, S. Elusive consensus: polarization in elite communication on the COVID-19 pandemic. Sci. Adv. 6, eabc2717 (2020).

  55. Gollust, S., Nagler, R. & Fowler, E. The emergence of COVID-19 in the U.S.: a public health and political communication crisis. J. Health Polit. Policy Law https://doi.org/10.1215/03616878-8641506 (2020).

  56. Ahler, D. & Sood, G. The parties in our heads: misperceptions about party composition and their consequences. J. Polit. 80, 964–981 (2018).

    Google Scholar 

  57. Druckman, J. N., Klar, S., Krupnikov, Y., Levendusky, M. & Ryan, J. B. Mis-estimating affective polarization. Working Paper Seires WP-19-25 https://www.ipr.northwestern.edu/our-work/working-papers/2019/wp-19-25.html (Northwestern Univ. Inst. for Policy Research, 2020).

  58. Levendusky, M. Americans, not partisans: can priming American national identity reduce affective polarization? J. Polit. 80, 59–80 (2018).

    Google Scholar 

  59. Wojcieszak, M. & Warner, B. Can interparty contact reduce affective polarization? A systematic test of different forms of intergroup contact. Polit. Commun. https://doi.org/10.1080/10584609.2020.1760406 (2020).

  60. Gerber, A. & Green, D. Misperceptions about perceptual bias. Annu. Rev. Polit. Sci. 2, 189–210 (1999).

    Google Scholar 

  61. Fowler, A. Partisan intoxication or policy voting? Q. J. Polit. Sci. 15, 141–179 (2020).

    Google Scholar 

  62. Goren, P. Party identification and core political values. Am. J. Polit. Sci. 49, 882–897 (2005).

    Google Scholar 

  63. Rinehart, R. U.S. face mask usage relatively uncommon in outdoor settings. Gallup (7 August 2020); https://news.gallup.com/poll/316928/face-mask-usage-relatively-uncommon-outdoor-settings.aspx

  64. Baker, P. Trump, in a shift, endorses masks and says virus will get worse. The New York Times (21 July 2020).

  65. Rucker, P. & Kim, S. M. Republican leaders now say everyone should wear a mask—even as Trump refuses and has mocked some who do. The Washington Post https://www.washingtonpost.com/politics/republican-leaders-now-say-everyone-should-wear-a-mask--even-as-trump-refuses-and-mocks-those-who-do/2020/06/30/995a32d0-bae9-11ea-80b9-40ece9a701dc_story.html (30 June 2020).

  66. Druckman, J. & Levendusky, M. What do we measure when we measure affective polarization? Public Opin. Q. 83, 114–122 (2019).

    Google Scholar 

  67. Beam, M. A., Hutchens, M. J. & Hmielowski, J. D. Facebook news and (de)polarization: reinforcing spirals in the 2016 US election. Inf. Commun. Soc. 21, 940–958 (2018).

    Google Scholar 

  68. Huddy, L., Mason, L. & Aarøe, L. Expressive partisanship: campaign involvement, political emotion, and partisan identity. Am. Polit. Sci. Rev. 109, 1–17 (2015).

    Google Scholar 

  69. Linden, A., Mathur, M. & VanderWeele, T. Conducting sensitivity analysis for unmeasured confounding in observational studies using E-values: the evalue package. Stata J. 20, 162–175 (2020).

    Google Scholar 

  70. VanderWeele, T. & Ding, P. Sensitivity analysis in observational research: introducing the E-value. Ann. Intern. Med. 167, 268–274 (2017).

    PubMed  Google Scholar 

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Acknowledgements

The authors thank J. Lin and N. Sands for their research assistance, as well as E. Finkel and E. Groenendyk for feedback. Funding for this study was provided by Northwestern University, the University of Arizona and the Annenberg Public Policy Center at the University of Pennslyvania. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

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J.N.D. fielded the study and provided the deidentified data. J.N.D., S.K., Y.K., M.L. and J.B.R. designed the research, did preliminary analyses and wrote the manuscript. J.B.R. performed the final analyses and constructed the figures and analyses in Supplementary Information.

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Correspondence to James N. Druckman.

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Druckman, J.N., Klar, S., Krupnikov, Y. et al. Affective polarization, local contexts and public opinion in America. Nat Hum Behav 5, 28–38 (2021). https://doi.org/10.1038/s41562-020-01012-5

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