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

Martin TušlPublic and Organizational Health, Epidemiology, Biostatistics, and Prevention Institute, Center of Salutogenesis, University of Zurich, Zurich, SwitzerlandAnja ThelenInstitute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne, University of Cologne, Cologne, GermanyKailing MarcusFaculty of Medicine, University of Geneva, Geneva, SwitzerlandAlexandra PetersInfection Control Programme and WHO Collaborating Center on Patient Safety, University of Geneva, Geneva, SwitzerlandE. ShalaevaDivision of Public Health Science, Westminster International University in Tashkent, Tashkent, UzbekistanBenjamin ScheckelInstitute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne, University of Cologne, Cologne, GermanyMartin SýkoraCentre for Information Management, Loughborough University, Loughborough, Leicestershire UKSuzanne ElayanCentre for Information Management, Loughborough University, Loughborough, Leicestershire UKJohn A. NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA USAKetan ShankardassDepartment of Health Sciences, Wilfrid Laurier University, Waterloo, ON CanadaStephen J. MooneyDepartment of Epidemiology, University of Washington, Seattle, WA USAMarta FaddaFaculty of Biomedical Sciences, University of Lugano, Lugano, SwitzerlandOliver GruebnerDepartment of Geography, University of Zurich, Zurich, Switzerland
Discover Mental Healthjournal2022en
ABI

Аннотация

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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