Award Abstract # 2215494
Collaborative Research: Reducing Prejudice Toward Refugees: How Social Networks Reinforce and Unravel Attitude Change

NSF Org: SES
Division of Social and Economic Sciences
Recipient: VANDERBILT UNIVERSITY
Initial Amendment Date: August 3, 2022
Latest Amendment Date: August 3, 2022
Award Number: 2215494
Award Instrument: Standard Grant
Program Manager: James I. Walsh
jwalsh@nsf.gov
 (703)292-4689
SES
 Division of Social and Economic Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: September 1, 2022
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $170,424.00
Total Awarded Amount to Date: $170,424.00
Funds Obligated to Date: FY 2022 = $170,424.00
History of Investigator:
  • Jennifer Larson (Principal Investigator)
    jennifer.larson@vanderbilt.edu
Recipient Sponsored Research Office: Vanderbilt University
110 21ST AVE S
NASHVILLE
TN  US  37203-2416
(615)322-2631
Sponsor Congressional District: 05
Primary Place of Performance: Vanderbilt University
TN  US  37203-2417
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): GTNBNWXJ12D5
Parent UEI:
NSF Program(s): Security & Preparedness
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9178
Program Element Code(s): 118Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075

ABSTRACT

Most of the world?s political refugees live in developing countries. Maintaining positive host-refugee relations is important for maintaining security in these countries. This study investigates whether face-to-face conversations aimed at taking the perspective of refugees can reduce an individual?s prejudice towards refugees in a resource-poor context, and whether changes in beliefs about and attitudes towards outgroups spread socially, via social networks after the intervention. The study results will show how social networks reinforce or undermine changes in beliefs and attitudes in the longer-term, thereby advancing knowledge on the most difficult part of this process: countering prejudice towards refugees in ways that are cost-effective and durable. Additionally, the network data collected during the study will be used to build a pedagogical resource to aid social network analysis instruction. The study will culminate in both scholarly publications and a public-facing set of briefs for refugee organizations.


The objectives of this study are fourfold: 1. Assemble a new dataset from households with information on individual attributes, attitudes towards refugees, beliefs about community views on refugees, and rich social network information. 2. Assess the effectiveness of a light-touch intervention aimed at reducing prejudice towards refugees. 3. Compare the effectiveness of two possible prejudice-reduction interventions and determine how social processing reinforces or unravels attitude change in the longer-term. 4. Examine which network structures correlate with other social identity markers, such as ethnic demography. Randomly selected households will receive a perspective-taking treatment. In half of the households, the perspective-taking intervention will occur via a one-on-one, individual interaction, and in the others, it will occur via a social process at a community meeting. Data from baseline and subsequent surveys will be analyzed to meet the study objectives. The study will be among the first to examine directly the social processing of an individual-level treatment aimed at prejudice reduction. The findings will significantly advance basic research in areas related to the study of refugee populations, prejudice regulation, and the influence of social networks on individual attitudes.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Clark, Aaron_Thomas and Larson, Jennifer_M and Lewis, Janet_I "Linking perspectives: a field experiment on the role of multi-layer networks in refugee information sharing" Applied Network Science , v.9 , 2024 https://doi.org/10.1007/s41109-024-00626-2 Citation Details
LARSON, JENNIFER M and LEWIS, JANET I "Reducing Prejudice toward Refugees: Evidence That Social Networks Influence Attitude Change in Uganda" American Political Science Review , 2024 https://doi.org/10.1017/S0003055424000303 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

People are social, living life as part of a rich social network.  Friends and family can be sources of pressure- sometimes subtle, sometimes less so- to think and do certain things.  Our study was designed to understand how this social pressure shapes feelings towards members of other groups (so-called "out-groups") and to see if it can be harnessed to improve relations. 

We conducted a field experiment in rural Uganda, a setting in which whole communities' social networks could be traced, that attempted to warm attitudes towards refugees that had arrived from Democratic Republic of Congo and South Sudan.  Uganda hosts one of the top five largest refugee populations in the world, and the largest in Sub-Saharan Africa. As for all countries that host large migrant populations, in Uganda the refugee influx has led to some tension, and even occasional instances of violence.  Research has shown that "perspective-taking" exercises in which a person puts themselves in the shoes of someone from the out-group can warm attitudes towards them.  We used similar exercises with new features which, combined with our measures of word-of-mouth social networks in these communities, revealed important findings.

First, our results show that a perspective-taking intervention shown to reduce prejudice towards outgroups in the US does also reduce prejudice against refugees in Uganda. Average effects are sizeable and endure for at least two weeks.  This is important not only for learning that this kind of intervention can work in Uganda, but also for learning that it can work in areas that are rural and that have scarcer resources. 

Second, our results show that perspective-taking exercises work better when they are conducted in groups than when they are one-on-one.  In fact, the more people who are present during the perspective-taking discussion, the more impactful it is at warming the attitudes of the participants.  It appears that this is because community-level treatments are especially impactful at changing beliefs about what attitudes others in the community hold.

Finally, our results confirm that social networks matter for how well interventions such as these work in the longer-term.  While attitudes warm in the short-term in predictable ways, in the long term, spillovers through networks make things more complicated.  These interventions kick off a social process where people vet, deliberate, and update their views based on others in the village social network.  The people whose attitudes warm the most from our intervention in the long-term are those whose contacts in the social networks most support the viewpoint of the intervention.  Our study also warmed the attutdes of others in the community who were not themselves part of the intervention because they wound up beign included in the social processing that took place afterwards.

In short, our findings demonstrate that social processing is an important part of what we typically observe as individual-level attitude changes.  While individuals react on their own right away, their ultimate attitude after our study depends on an active round of social processing with members of their community to land on an updated attitude. 

Our study has resulted in two journal publications, three articles in preparation, and a book proposal.  It has also generated a large dataset that can be used by other scholars which contains rich information about village life, social networks, interactions with out-groups, and feelings towards refugees.  This dataset and the tools built around it are also useful for instruction in statistics, research design, and the newer field of social network analysis.

 


Last Modified: 12/19/2024
Modified by: Jennifer Larson

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