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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
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 im...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243703/ https://www.ncbi.nlm.nih.gov/pubmed/35789666 http://dx.doi.org/10.1007/s44192-022-00017-y |
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author | 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 |
author_facet | 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 |
author_sort | Tušl, Martin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9243703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92437032022-06-30 Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events 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 Discov Ment Health Comment 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. Springer International Publishing 2022-06-27 /pmc/articles/PMC9243703/ /pubmed/35789666 http://dx.doi.org/10.1007/s44192-022-00017-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Comment 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 Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title | Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title_full | Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title_fullStr | Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title_full_unstemmed | Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title_short | Opportunities and challenges of using social media big data to assess mental health consequences of the COVID-19 crisis and future major events |
title_sort | opportunities and challenges of using social media big data to assess mental health consequences of the covid-19 crisis and future major events |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243703/ https://www.ncbi.nlm.nih.gov/pubmed/35789666 http://dx.doi.org/10.1007/s44192-022-00017-y |
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