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

被引:7
|
作者
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
机构
[1] University of Zurich,Public and Organizational Health, Epidemiology, Biostatistics, and Prevention Institute, Center of Salutogenesis
[2] The University Hospital of Cologne,Institute for Health Economics and Clinical Epidemiology
[3] University of Cologne,Faculty of Medicine
[4] University of Geneva,Infection Control Programme and WHO Collaborating Center on Patient Safety
[5] University of Geneva,Division of Public Health Science
[6] Westminster International University in Tashkent,Centre for Information Management
[7] Loughborough University,Department of Global Health and Social Medicine
[8] Harvard Medical School,Department of Health Sciences
[9] Wilfrid Laurier University,Department of Epidemiology
[10] University of Washington,Faculty of Biomedical Sciences
[11] University of Lugano,Department of Geography
[12] University of Zurich,Epidemiology, Biostatistics and Prevention Institute
[13] University of Zurich,undefined
来源
Discover Mental Health | / 2卷 / 1期
关键词
Social media; Big data; Mental health; COVID-19;
D O I
10.1007/s44192-022-00017-y
中图分类号
学科分类号
摘要
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.
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