Tušl Martin, Thelen Anja, Marcus Kailing, Peters Alexandra, Shalaeva Evgeniya, Scheckel Benjamin, Sykora Martin, Elayan Suzanne, Naslund John A, Shankardass Ketan, Mooney Stephen J, Fadda Marta, Gruebner Oliver
Public and Organizational Health, Epidemiology, Biostatistics, and Prevention Institute, Center of Salutogenesis, University of Zurich, Zurich, Switzerland.
Institute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne, University of Cologne, Cologne, Germany.
Discov Ment Health. 2022;2(1):14. doi: 10.1007/s44192-022-00017-y. Epub 2022 Jun 27.
The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use.
本评论探讨了社交媒体大数据如何用于心理健康研究,以评估诸如新冠疫情等重大全球危机的影响。我们首先简要概述新冠疫情的情况,以及使用传统方法评估其对全球心理健康影响所面临的挑战。然后,我们提出社交媒体大数据作为一种可能的非常规数据源,提供以往研究的示例,并讨论将其用于心理健康研究的优势和挑战。我们得出结论,社交媒体大数据是心理健康研究的宝贵资源,然而,需要解决一些方法上的局限性和伦理问题,以确保安全使用。