Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events.

Discover mental health Pub Date : 2022-01-01 Epub Date: 2022-06-27 DOI:10.1007/s44192-022-00017-y
Martin Tušl, Anja Thelen, Kailing Marcus, Alexandra Peters, Evgeniya Shalaeva, Benjamin Scheckel, Martin Sykora, Suzanne Elayan, John A Naslund, Ketan Shankardass, Stephen J Mooney, Marta Fadda, Oliver Gruebner
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引用次数: 4

Abstract

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.

利用社交媒体大数据评估COVID-19危机和未来重大事件对心理健康的影响的机遇和挑战。
本评论讨论了如何将社交媒体大数据用于心理健康研究,以评估COVID-19大流行等重大全球危机的影响。我们首先简要概述了COVID-19的形势以及使用传统方法评估其对精神卫生的全球影响所面临的挑战。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,提供了先前研究的说述性例子,并讨论了将其用于心理健康研究的优势和挑战。我们的结论是,社交媒体大数据为心理健康研究提供了宝贵的资源,然而,需要解决一些方法上的限制和伦理问题,以确保安全使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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