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Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE:...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164092/ https://www.ncbi.nlm.nih.gov/pubmed/35588057 http://dx.doi.org/10.2196/38340 |
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author | Basch, Corey H Donelle, Lorie Fera, Joseph Jaime, Christie |
author_facet | Basch, Corey H Donelle, Lorie Fera, Joseph Jaime, Christie |
author_sort | Basch, Corey H |
collection | PubMed |
description | BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE: The aim of this study was to describe the content of the hashtag #mentalhealth on TikTok. METHODS: This cross-sectional, descriptive content analysis study included 100 videos with the hashtag #mentalhealth on TikTok. All videos that included the hashtag #mentalhealth were analyzed and coded for the presence of content categories. Additionally, the comments to each video were viewed and coded for content in the following themes: offering support or validation; mentioning experience with suicide or suicidal ideation; mentioning experience with self-harm; describing an experience with hospitalization for mental health issues; describing other mental health issues; and sharing coping strategies, experiences of healing, or ways to feel better. RESULTS: Collectively, the 100 videos studied received 1,354,100,000 views; 266,900,000 likes; and 2,515,954 comments. On average, each video received 13,406,930.69 (SD 8,728,095.52) views; 2,657,425.74 (SD 1,449,920.45) likes; and 24,910.44 (SD 21,035.06) comments. The only content category observed in most (51/100, 51%) of the videos included in the sample was “general mental health.” The remaining content categories appeared in less than 50% of the sample. In total, 32% (32/100) of the videos sampled received more than the overall average number of likes (ie, more that 2.67 million likes). Among these 32 videos, 23 (72%) included comments offering support or validation and 20 (62%) included comments that described other mental health issues or struggles. CONCLUSIONS: With over 1 billion cumulative views, almost half of the assessed TikTok videos included in this study reported or expressed symptoms of mental distress. Future research should focus on the potential role of intervention by health care professionals on social media. |
format | Online Article Text |
id | pubmed-9164092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-91640922022-06-05 Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis Basch, Corey H Donelle, Lorie Fera, Joseph Jaime, Christie JMIR Form Res Original Paper BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE: The aim of this study was to describe the content of the hashtag #mentalhealth on TikTok. METHODS: This cross-sectional, descriptive content analysis study included 100 videos with the hashtag #mentalhealth on TikTok. All videos that included the hashtag #mentalhealth were analyzed and coded for the presence of content categories. Additionally, the comments to each video were viewed and coded for content in the following themes: offering support or validation; mentioning experience with suicide or suicidal ideation; mentioning experience with self-harm; describing an experience with hospitalization for mental health issues; describing other mental health issues; and sharing coping strategies, experiences of healing, or ways to feel better. RESULTS: Collectively, the 100 videos studied received 1,354,100,000 views; 266,900,000 likes; and 2,515,954 comments. On average, each video received 13,406,930.69 (SD 8,728,095.52) views; 2,657,425.74 (SD 1,449,920.45) likes; and 24,910.44 (SD 21,035.06) comments. The only content category observed in most (51/100, 51%) of the videos included in the sample was “general mental health.” The remaining content categories appeared in less than 50% of the sample. In total, 32% (32/100) of the videos sampled received more than the overall average number of likes (ie, more that 2.67 million likes). Among these 32 videos, 23 (72%) included comments offering support or validation and 20 (62%) included comments that described other mental health issues or struggles. CONCLUSIONS: With over 1 billion cumulative views, almost half of the assessed TikTok videos included in this study reported or expressed symptoms of mental distress. Future research should focus on the potential role of intervention by health care professionals on social media. JMIR Publications 2022-05-19 /pmc/articles/PMC9164092/ /pubmed/35588057 http://dx.doi.org/10.2196/38340 Text en ©Corey H Basch, Lorie Donelle, Joseph Fera, Christie Jaime. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.05.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Basch, Corey H Donelle, Lorie Fera, Joseph Jaime, Christie Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title | Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title_full | Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title_fullStr | Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title_full_unstemmed | Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title_short | Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis |
title_sort | deconstructing tiktok videos on mental health: cross-sectional, descriptive content analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164092/ https://www.ncbi.nlm.nih.gov/pubmed/35588057 http://dx.doi.org/10.2196/38340 |
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