Affective polarization

Working Definition

Affective polarization is the gap between the warmth, trust, and moral regard that citizens feel toward members of their own political party and the coldness, distrust, and hostility they feel toward supporters of opposing parties—typically measured in surveys by the difference in scores on a 0-to-100 “feeling thermometer” or by social-distance indicators (such as discomfort with one’s child marrying an opposing partisan). Crucially, the concept does not measure how far apart citizens stand on substantive policy issues like tax rates, healthcare, or foreign policy (ideological polarization), but how intensely they dislike and morally delegitimize people who vote differently—often summarized as “animus without ideological distance.” In technical political science, it is an individual-level psychological attitude aggregated to compare party systems over time; in everyday media commentary, it is often used loosely as a synonym for any “divided society.” Keeping the technical distinction sharp is essential, because two democracies with nearly identical distributions of policy opinions can exhibit radically different levels of partisan hatred.

Genesis and Global Lineage

The term was coined in 2012 by Shanto Iyengar, Gaurav Sood, and Yphtach Lelkes in Affect, Not Ideology: A Social Identity Perspective on Polarization (Public Opinion Quarterly). Using American National Election Studies (ANES) data since the 1970s, they resolved a dispute between Morris Fiorina (who argued voters remained centrist on policy) and Alan Abramowitz (who argued they were polarizing): even when ordinary Americans had not moved to the ideological extremes on policy questionnaires, their emotional ratings of the opposing party had plummeted from mild indifference (48 degrees on the 0–100 thermometer in 1978) to hostility (below 28 degrees by the 2010s). Drawing on Henri Tajfel and John Turner’s Social Identity Theory (1979), they showed that partisanship operates like a tribal identity where categorizing citizens into “us” and “them” triggers out-group hostility. In 2015, Iyengar and Sean Westwood (Fear and Loathing across Party Lines) proved in behavioral trust games and scholarship evaluations that partisan discrimination exceeded racial discrimination, partly because social norms censure racial prejudice while encouraging contempt for political opponents. In 2018, Lilliana Mason (Uncivil Agreement) added social sorting: as party labels aligned with religion, urban–rural residence, and lifestyle into a “mega-identity,” elections became existential referendums on dignity. Around 2019–2020, Andres Reiljan, Markus Wagner, and Noam Gidron adapted the concept to European multiparty democracies via weighted indices like Reiljan’s Affective Polarisation Index (API).

Central European Lineage

While the concept originated in American political psychology, Central and Eastern Europe provided its sharpest comparative surprise and theoretical corrective. When Andres Reiljan (2020) applied his multiparty Affective Polarisation Index across twenty-two European democracies and the US using Comparative Study of Electoral Systems (CSES) waves from 2005 to 2016, the most affectively polarized societies turned out to be in Central-Eastern and Southern Europe—with Bulgaria, Hungary, Czechia, and Poland registering intense partisan hostility even when main parties offered relatively centrist economic platforms. A sub-national study by Luca Bettarelli, Andres Reiljan, and Emilie Van Haute (2023) confirmed Hungary among the most affectively polarized polities in Europe and placed Poland in the moderately high tier with sharp inter-regional divergence after 2008. Furthermore, post-2015 Poland—marked by the clash between the national-conservative Law and Justice (Prawo i Sprawiedliwość, PiS) camp and the liberal Civic Platform (Platforma Obywatelska, PO) camp—became the flagship comparative case of top-down polarization: as Hubert Tworzecki showed (ANNALS, 2019), Polish affective polarization surged amid steady GDP growth, low unemployment, and declining inequality, proving that political elites and partisan media can manufacture deep tribal enmity from above without prior bottom-up sociological sorting.

Why Now

Three developments between 2018 and 2026 moved affective polarization to the center of democratic theory. First, U.S. survey numbers hit historic highs alongside constitutional crises: a Pew Research Center study (August 2022) found the share of Republicans viewing Democrats as “more immoral” than other Americans jumped from 47% in 2016 to 72% in 2022 (and from 35% to 63% among Democrats), framing the January 6, 2021 Capitol attack. Second, cross-national datasets (Noam Gidron, James Adams, and Will Horne, 2020; Levi Boxell, Matthew Gentzkow, and Jesse Shapiro, 2024) overturned the assumption that affective polarization is uniquely American or caused solely by social media—showing that absolute hostility was higher in several Central European and Mediterranean parliamentary systems, and rose fastest among older cohorts least active online. Third, high-stakes elections in Central Europe—notably Poland’s October 15, 2023 parliamentary vote (with a record 74.4% turnout and a transfer of power) and Hungary’s polarized campaigns through 2022–2026—tested whether intense affective polarization can be de-escalated after a change of government, or whether ruling and opposition camps simply swap roles inside the same tribal cage. By 2025, the Handbook of Affective Polarization (edited by Mariano Torcal and Eelco Harteveld) marked the field’s full institutionalization.

Explanatory Power

The concept explains three puzzles that baffle analysts looking only at policy preferences. First, it explains why policy compromise rarely cools political conflict: as Lilliana Mason showed, voters from rival parties can agree on 70% of specific tax or healthcare proposals on a blind questionnaire and still view the opposing camp as an existential enemy, because the conflict is driven by group status and moral identity. Second, it accounts for the spillover of partisanship into everyday life: studies following Iyengar and Westwood (2015) show affective polarization shapes dating-app matches, hiring callbacks, neighborhood choice, trust in medical advice during pandemics, and consumer behavior. Third, it highlights distorted metaperceptions: experiments show partisans overestimate by two- or threefold how extreme and antidemocratic ordinary voters of the opposing party actually are—meaning much of affective polarization is driven by a phantom caricature of the out-group projected by partisan media and political entrepreneurs.

Axes of Debate

Underappreciated Angle

The standard mathematical definition of affective polarization—in-group warmth minus out-group warmth, averaged across the electorate—harbors a major blind spot: it imposes false symmetry by construction. Aggregate national indices conceal radical asymmetries between competing camps. In a social-psychological study of Polish affective polarization, Paulina Górska (University of Warsaw, 2019) showed that the emotional conflict between Poland’s two main camps was not a mirror image: liberal-democratic opposition voters expressed stronger targeted hostility and dehumanization toward supporters of the ruling Law and Justice (PiS) party than PiS voters expressed toward opposition voters—while PiS voters simultaneously exhibited much higher hostility toward non-partisan minority out-groups (refugees and LGBT people). A symmetric index flattens two distinct phenomena into one number: concentrated vertical anger at a ruling party accused of dismantling constitutional courts versus diffuse horizontal exclusion of cultural minorities. Recognizing that affective polarization can be structurally asymmetric is essential to distinguish democratic mobilization from tribalism.