Measuring and Countering Prejudice between Ethnic Groups

衡量和消除族裔群体之间的偏见

• 批准号: 503659594
• 负责人: Daniel Müller, Ph.D.
• 金额: --
• 依托单位: Institut für Finanzwissenschaft
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2022
• 资助国家: 德国
• 起止时间: 2021-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/503659594?language=en
• 关键词: Measuring; Countering; Prejudice; between; Ethnic

In this proposal, we lay out plans to (i) comprehensively measure discrimination against refugees in Austria and Germany using nation-wide field experiments, (ii) elicit implicit and explicit bias against refugees using representative survey and lab-in-the-field experiments and (iii) and assess the potential of de-biasing strategies to reduce discrimination and prejudice. The current proposal builds on an existing project in which we compiled a nation-wide experimental index of discrimination against refugees at the community level in Austria. We have done so by conducting a field experiment in which we sent out around 25,000 standardized e-mails to private and public institutions, randomizing the name of the sender as either local or foreign. We use differences in response rates at the community level to construct a nation-wide index of discrimination. The strength of this field experimental measurement of discrimination is that it is elicited in a natural, yet at the same time tightly experimentally controlled, context. In the first pillar of this proposal, we propose to extend this index to Germany and thus lay the foundation for a larger database on discrimination.The second pillar consists of survey and lab-in-the-field experiments, administered in both countries, which measure explicit and implicit biases against refugees. In addition, we will include modules to assess stated beliefs and attitudes towards refugees in more general. In particular, we plan to elicit beliefs about the country of origin, religious and educational background of refugees, their number and the propensity of criminal activities of refugees and we will also measure general attitudes towards them (i.e., whether they are perceived as a burden or as a gain). These data will be geo-coded and merged to the revealed (e-mail) measure of discrimination and to a large battery of socio-economic covariates and other background characteristics. Among others, we will also link data on the allocation of refugees to our data to estimate the effect of exposure and contact to refugees on discrimination. Such an approach allows for the testing the “Contact Hypothesis” (CH) originally proposed Allport (1954). The main idea is that contact between groups can, under certain conditions, reduce prejudice and hostility.In the third pillar of this proposal, we aim to test the effectiveness of de-biasing interventions in the reduction of discrimination and prejudice. In these interventions, we expose subjects to information about their own biases. These information treatments allow us to study the causal effect of beliefs and evaluate whether de-biasing beliefs could potentially contribute to the mitigation of anti-refugee sentiments.

在这项提案中，我们制定了以下计划：(I)利用全国性的实地实验，全面衡量奥地利和德国对难民的歧视；(Ii)利用代表性调查和实地实验室实验，引发对难民的隐性和显性偏见；(Iii)评估消除偏见战略的潜力，以减少歧视和偏见。目前的建议建立在一个现有项目的基础上，在该项目中，我们编制了奥地利在社区一级歧视难民的全国实验指数。为此，我们进行了一项实地实验，我们向私营和公共机构发送了大约25,000封标准化电子邮件，随机将发送者的姓名分为本地或外国。我们利用社区层面回应率的差异来构建一个全国性的歧视指数。这一领域的辨别实验测量的优势在于，它是在一个自然的、但同时又受到严格实验控制的背景下产生的。在这项提案的第一个支柱中，我们建议将这一指数扩展到德国，从而为建立一个更大的歧视数据库奠定基础。第二个支柱由两国实施的调查和现场实验室实验组成，衡量对难民的显性和隐性偏见。此外，我们还将包括评估对难民的既定信念和态度的单元。特别是，我们计划引起人们对难民原籍国、难民的宗教和教育背景、难民人数和难民犯罪活动倾向的看法，我们还将衡量对他们的普遍态度(即，他们被视为负担还是收获)。这些数据将进行地理编码，并与所揭示的(电子邮件)歧视措施以及大量社会经济相关变量和其他背景特征合并。除其他外，我们还将把有关难民分配的数据与我们的数据联系起来，以估计与难民接触和接触对歧视的影响。这种方法允许检验最初由Allport(1954)提出的“接触假说”(CH)。主要观点是，在某些条件下，群体之间的接触可以减少偏见和敌意。在这项提议的第三个支柱中，我们的目标是测试去偏见干预在减少歧视和偏见方面的有效性。在这些干预中，我们让受试者接触到关于他们自己的偏见的信息。这些信息处理方法使我们能够研究信仰的因果关系，并评估消除偏见的信仰是否可能有助于缓解反难民情绪。