Loughborough University
Browse

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

Download (503.68 kB)
journal contribution
posted on 2022-06-30, 13:56 authored by Martin Tušl, Anja Thelen, Kailing Marcus, Alexandra Peters, Evgeniya Shalaeva, Benjamin Scheckel, Martin SykoraMartin Sykora, Suzanne ElayanSuzanne Elayan, John A Naslund, Ketan Shankardass, Stephen Mooney, Marta Fadda, Oliver Gruebner
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.

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions (801076)

History

School

  • Business and Economics

Department

  • Business

Published in

Discover Mental Health

Volume

2

Issue

1

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-06-17

Publication date

2022-06-27

Copyright date

2022

eISSN

2731-4383

Language

  • en

Depositor

Dr Martin Sykora. Deposit date: 28 June 2022

Article number

14

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC