The new generationalism: Generational antagonism and partisan polarization

Abstract Despite the prevalence of generational labels like Boomers, Gen X, Millennials, and Gen Z in popular discourse, most studies of generationalism have been restricted to content analyses of generational rhetoric. This study investigates the prevalence of negative generationalism, or negative affective sentiment towards perceived generational out‐groups within the US public and considers how it may be linked with partisan political identities. Using a nationally representative survey of 1232 Americans, this research examines the association between generational self‐identity and partisan identity using feeling thermometer scores for four generational groups (Boomers, Gen Xers, Millennials, and Gen Z) and the two major political parties (Democrats and Republicans). I also report the findings of an experimental manipulation testing the extent to which generational priming exacerbates affective partisan polarization. The results reveal strong evidence of positive affect towards one's generational in‐group, but a less consistent pattern of negative generationalism. Neither the correlational nor the experimental outcomes support a strong and consistent link between generationalism and partisanship, though Republicans feel significantly warmer towards Baby Boomers and colder towards Gen Z than independents. Despite the largely null findings concerning partisanship, this study reveals that these generational labels do appear to bear some degree of social meaning as social identities for people, pointing to new directions for future sociological research on generationalism.

Authors

Institutions

Publication Details

Journal
Sociological Forum
Published
2024-08-13
DOI
https://doi.org/10.1111/socf.13017
Citations
1
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The new generationalism: Generational antagonism and partisan polarization

Andrew M. Lindner
1 citations
Sociological Forum
Social Media and Politics
0.96
article

The new generationalism: Generational antagonism and partisan polarization

Andrew M. Lindner
article en
1 citations

Abstract

Abstract Despite the prevalence of generational labels like Boomers, Gen X, Millennials, and Gen Z in popular discourse, most studies of generationalism have been restricted to content analyses of generational rhetoric. This study investigates the prevalence of negative generationalism, or negative affective sentiment towards perceived generational out‐groups within the US public and considers how it may be linked with partisan political identities. Using a nationally representative survey of 1232 Americans, this research examines the association between generational self‐identity and partisan identity using feeling thermometer scores for four generational groups (Boomers, Gen Xers, Millennials, and Gen Z) and the two major political parties (Democrats and Republicans). I also report the findings of an experimental manipulation testing the extent to which generational priming exacerbates affective partisan polarization. The results reveal strong evidence of positive affect towards one's generational in‐group, but a less consistent pattern of negative generationalism. Neither the correlational nor the experimental outcomes support a strong and consistent link between generationalism and partisanship, though Republicans feel significantly warmer towards Baby Boomers and colder towards Gen Z than independents. Despite the largely null findings concerning partisanship, this study reveals that these generational labels do appear to bear some degree of social meaning as social identities for people, pointing to new directions for future sociological research on generationalism.

Sociological ForumVol. 39(4)
Skidmore College (US)
Skidmore College
Reduced inequalities
Openalex Percentile: Top 22%
Social Media and Politics
0.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.