This conceptual paper examines the promises and critical challenges posed by contemporary personality measurement using big data. More specifically, the paper provides (i) an introduction to the type of technologies that give rise to big data, (ii) an overview of how big data is used in personality research and how it might be used in the future, (iii) a framework for approaching big data in personality science, (iv) an exploration of ideas that connect psychometric reliability and validity, as well as principles of fairness and privacy, to measures of personality that use big data, (v) a discussion emphasizing the importance of collaboration with other disciplines for personality psychologists seeking to adopt big data methods, and finally, (vi) a list of practical considerations for researchers seeking to move forward with big data personality measurement and research. It is expected that this paper will provide insights, guidance, and inspiration that helps personality researchers navigate the challenges and opportunities posed by using big data methods in personality measurement. © 2020 European Association of Personality Psychology

中文翻译：

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在性格测量中使用大数据和机器学习：机遇与挑战

本概念文件研究了使用大数据进行当代人格测量所带来的希望和重大挑战。更具体地说，本文提供（i）引入大数据的技术类型的介绍，（ii）个性研究中如何使用大数据以及将来如何使用大数据的概述，（iii）一个在人格科学中处理大数据的框架，（iv）探索将心理计量学的可靠性和有效性以及公平和隐私原则与使用大数据的人格测度联系起来的思想，（v）强调重要性的讨论与寻求采用大数据方法的性格心理学家与其他学科的合作，最后，（vi）寻求推动大数据个性测量和研究的研究人员的实际考虑事项列表。期望本文将提供一些见识，指导和启发，以帮助个性研究者应对在性格测量中使用大数据方法带来的挑战和机遇。©2020欧洲人格心理学协会