Immigration Attitudes and Positive Messaging
Evidence From the United States
Bibliographic Data
| ID | 6180247 |
|---|---|
| Authors | David H Bearce (0000-0001-6239-4066, University of Colorado Boulder, corresponding author), Ken Stallman (University of Colorado Boulder) |
| Year | 2023 |
| Volume | 51 |
| Issue | 2 |
| Pages | 127-138 |
| Publication date | 2023-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Politics Research (JOURNAL) |
| Journal identifiers | ISSN: 1532-673X • E-ISSN: 1552-3373 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1532673x221078276 |
| OpenAlex | W4226250374 |
| Language | EN |
| Citations received | 2 |
| References cited | 32 |
This paper considers a messaging strategy to shift immigration preferences, arguing that if citizen attitudes in this issue-area build from several dimensions, then a positive message related to each dimension should move attitudes in a more favorable direction. It tests the first part using original survey data with directly comparable questions about whether immigration hurts/helps American culture/the economy/national security, providing evidence that all three dimensions currently support the preferences of voting-age citizens. It tests the second part by randomly presenting another sample with different messages about how labor immigration strengthens national security, creates new jobs, or enhances culture, finding that all three reduce anti-immigration attitudes with significant effects even within groups that are more opposed to immigration (namely, white Americans, those with less education, and partisan Republicans
Demographic economics · Economics · Immigration · National election · National security · Political science · Politics · Survey data collection · Voting · Voting behavior · Law · Migration, Refugees, and Integration · Populism, Right-Wing Movements · Psychology · Social and Intergroup Psychology · Social Psychology
International migration and security
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| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |