Social class influences communication behaviors in a variety of ways, including, for example, norms regarding volume, silence, and language use. Communication typical of white-collar backgrounds is often privileged in social life, while communication common to blue-collar backgrounds is marginalized. However, organizational scholars rarely discuss such tendencies and their impact on research methods and findings. Indeed, as scholars, we are often trained that verbose, rich interview data is ideal for all qualitative organizational communication research, even as these standards implicitly privilege white-collar communication norms. In this study, scholars are called to reimagine the most commonly used method of qualitative data collection, interviews, in order to address implicit classed communication biases in qualitative organizational communication scholarship. As knowledge about discourse, materiality, and organizing continues to evolve in organizational communication, it is imperative that scholars develop more inclusive methods. We propose and discuss more inclusive methods of data collection that can involve unlearning biased approaches to methods, and consider specific techniques such as photovoice, linguistic pilot tests, and conscientious fieldwork.

中文翻译：

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语言包容：挑战面试方法中的隐式分类沟通偏见

社会阶层以多种方式影响交流行为，包括例如关于音量、沉默和语言使用的规范。白领背景的典型交流在社交生活中往往享有特权，而蓝领背景的常见交流则被边缘化。然而，组织学者很少讨论这种趋势及其对研究方法和发现的影响。事实上，作为学者，我们经常被训练为冗长、丰富的访谈数据是所有定性组织传播研究的理想选择，即使这些标准隐含着白领沟通规范的特权。在这项研究中，学者们被要求重新设想最常用的定性数据收集、访谈、为了解决定性组织传播学研究中隐含的分类传播偏见。随着有关话语、物质性和组织的知识在组织传播中不断发展，学者们必须开发更具包容性的方法。我们提出并讨论了更具包容性的数据收集方法，这些方法可能涉及消除偏见的方法，并考虑特定的技术，如语音、语言试点测试和认真的实地考察。