Applying an approach termed “citizen sociolinguistics” offers a unique opportunity to capture a large corpus of naturally occurring language data, especially fleeting interactions. Drawing on citizen science innovations in the natural sciences, citizen sociolinguistics recruits and trains scientists to complete data-related tasks such as data collection. Additional benefits of the approach include inclusivity of diverse speakers and capacity to scale projects. Tested procedures for implementing citizen sociolinguistics are described, ethical challenges are considered, and other potential benefits and limitations to engaging the lay public in scientific research around language use are addressed.

中文翻译：

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公民社会语言学：一种难以捕获的自然语言数据的数据收集方法

应用一种称为“公民社会语言学”的方法提供了一个独特的机会来捕获大量自然发生的语言数据，尤其是短暂的交互。公民社会语言学利用自然科学领域的公民科学创新，招募和培训科学家完成数据收集等与数据相关的任务。该方法的其他好处包括不同演讲者的包容性和扩展项目的能力。描述了实施公民社会语言学的经过测试的程序，考虑了道德挑战，并解决了让非专业公众参与围绕语言使用的科学研究的其他潜在好处和限制。