Collaborative Research: Reducing Prejudice Toward Refugees: How Social Networks Reinforce and Unravel Attitude Change

合作研究：减少对难民的偏见：社交网络如何强化和消除态度变化

• 批准号: 2215494
• 负责人: Jennifer Larson
• 金额: $ 17.04万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2215494&HistoricalAwards=false
• 关键词: Collaborative; Research; Reducing; Prejudice; Toward

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.

世界上大多数政治难民都生活在发展中国家。维持积极的寄宿现象关系对于维持这些国家的安全很重要。这项研究调查了旨在采用难民观点的面对面对话是否可以在资源贫乏的背景下减少个人对难民的偏见，以及在干预后通过社交网络通过社交网络来相信并参与社交群体传播。该研究结果将显示社交网络如何加强或破坏长期的信念变化和参加，从而促进有关此过程中最困难的部分的知识：以具有成本效益且持久的方式反对对难民的偏见。此外，研究期间收集的网络数据将用于建立教学资源以帮助社交网络分析指令。这项研究将在科学出版物和针对难民组织的公共面向公共摘要中达到顶峰。这项研究的目标是四重：1。从家庭中组装一个新的数据集，其中包含有关个人属性的信息，对难民的关注，相信社区对难民的看法以及丰富的社交网络信息。 2。评估旨在减少对难民偏见的轻触式干预措施的有效性。 3。比较两种可能的偏见减少干预措施的有效性，并确定社会处理如何增强或揭露长期态度的变化。 4。检查哪些网络结构与其他社会认同标记（例如种族障碍）相关。随机选择的家庭将获得视角治疗。在一半的家庭中，观点的干预将通过一对一的个人互动进行，而在其他互动中，它将通过社会过程中的社会过程进行。将分析基线和随后的调查的数据以满足研究目标。该研究将是最早直接研究旨在减少偏见的个人级别治疗的社会处理的研究者之一。这些发现将在与难民人群研究，偏见监管以及社交网络对个人参与者的影响有关的领域的基础研究中大大提高基础研究。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。