A content analysis of YouTube depression personal account videos and their comments

Around 20% of teens seeking health information about depression online watch YouTube videos to find the information. However, the content of depression-related YouTube videos remains understudied. Thus, the purpose of this study is to identify if DPAVs reference youth, suicidality, and depression tr...

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Autores principales:	Quintin Gaus, Anna Jolliff, Megan A. Moreno
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	YouTube Depression Social media Youth DPAVs Adolescents Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/4bad17696ba644869caf5a21d032c8a8
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spelling	oai:doaj.org-article:4bad17696ba644869caf5a21d032c8a82021-12-01T05:03:39ZA content analysis of YouTube depression personal account videos and their comments2451-958810.1016/j.chbr.2020.100050https://doaj.org/article/4bad17696ba644869caf5a21d032c8a82021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2451958820300506https://doaj.org/toc/2451-9588Around 20% of teens seeking health information about depression online watch YouTube videos to find the information. However, the content of depression-related YouTube videos remains understudied. Thus, the purpose of this study is to identify if DPAVs reference youth, suicidality, and depression treatments. DPAVs were identified using 4 search phrases on YouTube and included if they were longer than 2 min, from a unique creator, and had more than 5000 views. Videos were evaluated based on a codebook that included presence of youth references, suicidality references, and references to and advocacy for clinical treatments. The first twenty comments, sorted by “Top Comments,” on each video were evaluated based on the above variables as well as the commenter’s reaction to the video/creator. Inter-rater agreement was 88% for the video codebook and 97.96% for the comment codebook. Descriptive statistics were used to analyze frequencies, and 2-proportion z-tests were utilized for comparisons. 77 DPAVs and 1540 comments were evaluated. Youth and suicidality references were present in 50 videos (64.94%) each. Youth references were mentioned in 89 comments (5.78%) and suicidality in 113 comments (7.34%). Many videos (66.23%) referenced at least one clinical treatment. Fewer videos (36.36%) advocated for a clinical treatment or diagnostic testing. The results support that DPAVs often have youth-oriented content and address stigmatized and serious topics. These videos may be a relatively new way that youth with depression can seek support and insight about those topics. Few creators advocated for clinical treatment, raising concerns about the messages conveyed in DPAVs. Intervention efforts should include educating creators to be more knowledgeable about the treatment options available and encouraging providers to discuss this content with viewers and creators or create their own content.Quintin GausAnna JolliffMegan A. MorenoElsevierarticleYouTubeDepressionSocial mediaYouthDPAVsAdolescentsElectronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 3, Iss , Pp 100050- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	YouTube Depression Social media Youth DPAVs Adolescents Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
spellingShingle	YouTube Depression Social media Youth DPAVs Adolescents Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990 Quintin Gaus Anna Jolliff Megan A. Moreno A content analysis of YouTube depression personal account videos and their comments
description	Around 20% of teens seeking health information about depression online watch YouTube videos to find the information. However, the content of depression-related YouTube videos remains understudied. Thus, the purpose of this study is to identify if DPAVs reference youth, suicidality, and depression treatments. DPAVs were identified using 4 search phrases on YouTube and included if they were longer than 2 min, from a unique creator, and had more than 5000 views. Videos were evaluated based on a codebook that included presence of youth references, suicidality references, and references to and advocacy for clinical treatments. The first twenty comments, sorted by “Top Comments,” on each video were evaluated based on the above variables as well as the commenter’s reaction to the video/creator. Inter-rater agreement was 88% for the video codebook and 97.96% for the comment codebook. Descriptive statistics were used to analyze frequencies, and 2-proportion z-tests were utilized for comparisons. 77 DPAVs and 1540 comments were evaluated. Youth and suicidality references were present in 50 videos (64.94%) each. Youth references were mentioned in 89 comments (5.78%) and suicidality in 113 comments (7.34%). Many videos (66.23%) referenced at least one clinical treatment. Fewer videos (36.36%) advocated for a clinical treatment or diagnostic testing. The results support that DPAVs often have youth-oriented content and address stigmatized and serious topics. These videos may be a relatively new way that youth with depression can seek support and insight about those topics. Few creators advocated for clinical treatment, raising concerns about the messages conveyed in DPAVs. Intervention efforts should include educating creators to be more knowledgeable about the treatment options available and encouraging providers to discuss this content with viewers and creators or create their own content.
format	article
author	Quintin Gaus Anna Jolliff Megan A. Moreno
author_facet	Quintin Gaus Anna Jolliff Megan A. Moreno
author_sort	Quintin Gaus
title	A content analysis of YouTube depression personal account videos and their comments
title_short	A content analysis of YouTube depression personal account videos and their comments
title_full	A content analysis of YouTube depression personal account videos and their comments
title_fullStr	A content analysis of YouTube depression personal account videos and their comments
title_full_unstemmed	A content analysis of YouTube depression personal account videos and their comments
title_sort	content analysis of youtube depression personal account videos and their comments
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4bad17696ba644869caf5a21d032c8a8
work_keys_str_mv	AT quintingaus acontentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments AT annajolliff acontentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments AT meganamoreno acontentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments AT quintingaus contentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments AT annajolliff contentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments AT meganamoreno contentanalysisofyoutubedepressionpersonalaccountvideosandtheircomments
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A content analysis of YouTube depression personal account videos and their comments

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