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Map the Divide: Qualitative Analysis of Polarization

Evidano9 min read

Researchers, policy analysts, journalists, and civic organizations need to distinguish perceived political division from measurable polarization and political violence. The November 2, 2026, HFG report, written by Greg Berman, combines 18 expert interviews conducted during 2024 and 2025 with polling and prior research to examine whether the United States is coming apart. This qualitative analysis of political polarization points to a more complicated answer: American political conflict is serious, but public perceptions can exaggerate the depth and breadth of division. AI qualitative research can help teams analyze interviews, reports, survey comments, and media narratives together without losing the themes, contradictions, or differences between groups. This article summarizes the report's evidence and shows how researchers can turn large qualitative collections into a traceable analysis.

Key Takeaways

According to Frayed But Not Broken: Understanding American Division in a Polarized Age, the United States faces serious polarization, but the evidence does not show that the country is inevitably descending into widespread political violence. Greg Berman's report argues that public discourse often looks more divided than everyday political attitudes and behavior.

  • HFG's report is based on 18 expert conversations conducted by Greg Berman during 2024 and 2025 across history, political science, psychology, sociology, philosophy, philanthropy, and civil society.
  • A Reuters/Ipsos poll cited by HFG in July 2024 found that four in five Americans feared the country was sliding into chaos, while the Polarization Research Lab found in polling conducted since 2022 that just under 3 percent supported partisan violence.
  • Gallup data cited by HFG for 2025 found that 45 percent of Americans identified as independent, compared with 27 percent identifying as Democrats and 27 percent identifying as Republicans.
  • HFG cites research showing that 70 percent of US social media users never or rarely posted or shared political or social issues, according to Pew Research Center data published on May 4, 2021.
  • HFG's central qualitative insight is that the bonds connecting Americans may be frayed, but civic associations and ordinary cross-group relationships can still support pluralism.

What the HFG Report Found About Political Polarization

The HFG report concludes that American polarization is urgent but does not by itself prove that widespread political violence is imminent. Greg Berman reached that conclusion after interviewing 18 experts during 2024 and 2025 and comparing their perspectives with polling, historical analysis, and political-violence research.

The report separates several concepts that are often blended together: elite polarization, affective polarization, ideological polarization, false polarization, and political violence. The Northwestern University Institute for Policy Research defines affective polarization as the gap between positive feelings toward one's own party and negative feelings toward the opposing party, and HFG reports that this gap increased markedly over the two decades before the report's November 2, 2026 publication.

The report also identifies a gap between political presentation and public behavior. Gallup data cited by HFG for 2025 showed that 45 percent of Americans identified as independent, while 27 percent identified as Democrats and 27 percent as Republicans. HFG interprets those figures as evidence that red-versus-blue labels can obscure the number of Americans who do not identify with either major party.

HFG cites the Polarization Research Lab's polling since 2022, which found that just under 3 percent of respondents supported partisan violence. HFG also cites Armed Conflict Location & Event Data, which reported that extremist group activity and acts of political violence involving extremist actors declined each year after 2020.

The report does not minimize threats or intimidation. HFG cites Washington Post data showing that more than 1, 000 Americans were shot and killed by police annually from 2020 through 2024, while noting that the report found little indication that those deaths were directly related to politics.

Several interviewees offered concise warnings and qualifications. Yphtach Lelkes said, "The state of America is that we have strong partisanship but partisanship is not necessarily synonymous with violence." Clionadh Raleigh added, "A lot of people are getting radicalized in their opinions without becoming radicalized in their actions."

Political Polarization Findings Snapshot

Date or periodMetricValueResearch implication
2024 and 2025Expert interviews conducted for the HFG report18Multiple disciplines and civic perspectives provide qualitative context for polling and historical evidence.
July 2024Americans who feared the country was sliding into chaos, according to Reuters/Ipsos polling cited by HFG4 in 5Perceived disorder was widespread even though support for political violence remained limited.
2025Americans identifying as independent, according to Gallup data cited by HFG45%Party labels may overstate the size of the two-party camps.
2025Americans identifying as Democrats or Republicans, according to Gallup data cited by HFG27% eachA plurality identified with neither major party.
Since 2022Respondents supporting partisan violence, according to the Polarization Research Lab as cited by HFGJust under 3%Affective hostility and political violence should not be treated as identical measures.
May 4, 2021US social media users who never or rarely posted or shared political or social issues, according to Pew Research Center data cited by HFG70%Online political content may disproportionately reflect highly active and extreme voices.
2020 through 2024Americans shot and killed by police annually, according to Washington Post data cited by HFGMore than 1, 000 per yearState violence is a major public concern, although HFG distinguishes it from directly political violence.

Implications for Researchers Studying Political Polarization

Researchers studying political polarization should analyze perceived division, stated beliefs, online participation, and observed violence as separate qualitative and quantitative signals. HFG's report shows why a high level of fear does not automatically demonstrate high public support for violence.

A robust research workflow should compare elite statements with public interviews and open-ended survey responses. Researchers should also segment findings by party identification, independence, ideology, education, age, geography, and civic participation when those variables are available.

The report makes misperception a central analytic issue. HFG cites the 2021 study "The Ties that Blind, " which found that partisans consistently overestimated the prevalence of their opponents' extreme political attitudes. Researchers can therefore code not only what participants believe, but also what participants think the opposing group believes.

The report also points to civic association as a potential protective factor. Peter Coleman argued that societies are better able to mitigate intergroup violence when they contain "crosscutting structures, " while Robert Talisse said, "The lifeblood of democracy is that we disagree. That's why we need democracy." Qualitative research can examine where those cross-group relationships exist and what activities help sustain them.

How Evidano Supports AI Qualitative Research on Polarization

Problem: Researchers must synthesize interviews, reports, and survey comments

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, reports, and other documents.

Researchers can upload expert interview transcripts, polling summaries, academic papers, and media coverage, then use thematic, content, frequency, and cross-segment analyses to compare recurring narratives. Evidano's qualitative research features are relevant when a polarization project combines different source types.

Problem: Polarization research contains competing and overlapping themes

Evidano can organize themes into hierarchical codes and subcodes, helping research teams distinguish affective polarization, ideological disagreement, false polarization, political violence, social trust, and civic association.

Researchers can use co-occurrence networks and word clouds to inspect which concepts appear together, while AI chat over documents and analyses can support targeted questions about contradictions and exceptions.

Problem: Group differences can disappear in a large qualitative dataset

Evidano's cross-segment analysis can compare themes across demographic, geographic, political, or behavioral segments when those labels are included in the research data.

For example, a team could compare how independents, Democrats, and Republicans describe political threat, trust, violence, and shared identity, while keeping the underlying responses available for review.

Problem: Sensitive political research requires controlled data handling

Evidano encrypts data and does not use customer data to train third-party models, which is relevant when researchers analyze politically sensitive interviews or identifiable survey responses.

Teams should still obtain appropriate consent, minimize personally identifying information, and avoid presenting qualitative findings as proof of an individual's political risk or intent.

FAQ: Qualitative Analysis of Political Polarization

What does qualitative analysis of political polarization examine?

Qualitative analysis of political polarization examines how people describe political identity, opponents, threat, disagreement, violence, trust, and social connection.

The HFG report demonstrates the value of combining expert interviews with polling and historical research because polarization includes both measurable attitudes and subjective interpretations.

Does the HFG report say that the United States is heading toward civil war?

No, the HFG report says that the United States faces serious polarization but does not present evidence that the country is inevitably heading toward civil war.

Greg Berman writes that actual political violence remains low, while also warning that threats, intimidation, and a permissive climate can influence political behavior.

How common is support for partisan violence in the evidence cited by HFG?

Support for partisan violence was just under 3 percent in Polarization Research Lab polling conducted since 2022, according to the HFG report.

The figure does not eliminate the risk posed by small violent minorities, but it distinguishes minority support for violence from widespread partisan dislike.

Why can social media make polarization look larger than it is?

Social media can make polarization look larger because highly active political posters may not represent the wider public.

HFG cites Pew Research Center data published on May 4, 2021, showing that 70 percent of US social media users never or rarely posted or shared political or social issues.

How can AI help analyze political polarization research?

AI can help researchers code themes, compare segments, detect recurring language, and synthesize large collections of interviews, reports, and open-ended survey responses.

AI-generated findings should remain reviewable against source passages because political research requires context, careful interpretation, and attention to minority viewpoints.

What is the main practical implication of the HFG report?

The main practical implication is that researchers and civic organizations should measure both the intensity of conflict and the relationships that allow people to coexist across disagreement.

HFG argues that ordinary civic spaces and associations can help preserve pluralism, so qualitative research should examine not only political arguments but also the social settings that connect opposing groups.

Conclusion and Next Steps

The HFG report shows that American polarization is real, consequential, and more complex than a simple red-versus-blue narrative. The report's 18 expert interviews, polling evidence, and discussion of false polarization show why researchers should compare public perceptions with behavior, party identity, online participation, and support for violence. AI-enabled qualitative research can make that comparison faster while preserving themes, segment differences, and source-level evidence. Try Evidano for free to analyze interviews, reports, and open-ended survey data in one workspace.

Topics

  • qualitative analysis of political polarization
  • AI qualitative research
  • political polarization analysis
  • qualitative data analysis
  • political violence research

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