Moral Intuitions and Support for Immigration

ABSTRACT Introduction Attitudes toward immigration are often shaped by whether immigrants are perceived as a threat to one's racial, ethnic, or nativity group status. Yet recent research shows that such perceptions vary not only between different groups but also within them. Drawing on Moral Foundations Theory, our study investigates the moral intuitions that lead some individuals to view immigrants as threats and others to see them as deserving of care and support. Methods Using data from a national YouGov survey of 4000 US respondents, we examined the association between moral intuitions and attitudes toward immigration, including whether immigration should be a human right and support for higher levels of immigration. Results We find that people with strong individualizing intuitions—including those emphasizing care and fairness—are more likely to support immigration. In contrast, those with strong binding intuitions—especially those emphasizing a respect for authority and sanctity—are less supportive, likely reflecting concerns about maintaining the rule of law and apprehensions about outsiders. Conclusion These findings highlight the importance of moral frameworks in shaping public attitudes toward immigration. Differences in individualizing versus binding moral intuitions help explain why some individuals view immigrants primarily through a lens of care and fairness, while others emphasize social order and the importance of maintaining boundaries.

Authors

Institutions

Publication Details

Journal
Social Science Quarterly
Published
2026-03-01
DOI
https://doi.org/10.1111/ssqu.70146
Primary Topic
Social and Intergroup Psychology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moral Intuitions and Support for Immigration

John Iceland, Eric Silver, Ibrahim Enes Atac
Social Science Quarterly
Social and Intergroup Psychology
article

Moral Intuitions and Support for Immigration

John Iceland, Eric Silver, Ibrahim Enes Atac
article en

Abstract

ABSTRACT Introduction Attitudes toward immigration are often shaped by whether immigrants are perceived as a threat to one's racial, ethnic, or nativity group status. Yet recent research shows that such perceptions vary not only between different groups but also within them. Drawing on Moral Foundations Theory, our study investigates the moral intuitions that lead some individuals to view immigrants as threats and others to see them as deserving of care and support. Methods Using data from a national YouGov survey of 4000 US respondents, we examined the association between moral intuitions and attitudes toward immigration, including whether immigration should be a human right and support for higher levels of immigration. Results We find that people with strong individualizing intuitions—including those emphasizing care and fairness—are more likely to support immigration. In contrast, those with strong binding intuitions—especially those emphasizing a respect for authority and sanctity—are less supportive, likely reflecting concerns about maintaining the rule of law and apprehensions about outsiders. Conclusion These findings highlight the importance of moral frameworks in shaping public attitudes toward immigration. Differences in individualizing versus binding moral intuitions help explain why some individuals view immigrants primarily through a lens of care and fairness, while others emphasize social order and the importance of maintaining boundaries.

Social Science QuarterlyVol. 107(2)
Pennsylvania State University (US)
Reduced inequalities
Openalex Percentile: Top 13%
Social and Intergroup Psychology
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.