Journal of cosmetic dermatology · 2023
Alopecia areata and pattern hair loss (androgenetic alopecia) on social media - Current public interest trends and cross-sectional analysis of YouTube and TikTok contents.
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Gupta Aditya K, Polla Ravi Shruthi, Wang Tong
Аннотация
BACKGROUND: With an ever-growing influence of social media in healthcare, concurrent with increased emphasis on patient autonomy and shared decision-making, dermatologists treating hair loss need to be cognizant of online interest trends and the types of information disseminated across popular platforms.
OBJECTIVES: To evaluate recent health-related interest trends and assess engagement, quality, and accuracy of alopecia areata (AA) and pattern hair loss (PHL, androgenetic alopecia) contents on social media.
METHODS: Relative search volumes (RSVs) were extracted from Google Trends using the search category 'alopecia areata' and 'pattern hair loss'. Eighty matching videos on TikTok and YouTube were also extracted and characterized. Viewer engagement was estimated using the engagement ratio, and quality and accuracy were assessed using DISCERN and Dy et al. Accuracy Scale (DAS).
CONCLUSIONS: AA-related contents on TikTok discussing personal experiences of female subjects were significantly more engaging. DISCERN and DAS scoring showed significantly higher quality and accuracy in videos created by healthcare providers on YouTube, but not TikTok, which could in part be related to YouTube videos being longer. RSV fluctuations corresponding to news in popular culture had high impact. Sponsorship disclosures were generally not reported in product promotional videos.
OBJECTIVES: To evaluate recent health-related interest trends and assess engagement, quality, and accuracy of alopecia areata (AA) and pattern hair loss (PHL, androgenetic alopecia) contents on social media.
METHODS: Relative search volumes (RSVs) were extracted from Google Trends using the search category 'alopecia areata' and 'pattern hair loss'. Eighty matching videos on TikTok and YouTube were also extracted and characterized. Viewer engagement was estimated using the engagement ratio, and quality and accuracy were assessed using DISCERN and Dy et al. Accuracy Scale (DAS).
CONCLUSIONS: AA-related contents on TikTok discussing personal experiences of female subjects were significantly more engaging. DISCERN and DAS scoring showed significantly higher quality and accuracy in videos created by healthcare providers on YouTube, but not TikTok, which could in part be related to YouTube videos being longer. RSV fluctuations corresponding to news in popular culture had high impact. Sponsorship disclosures were generally not reported in product promotional videos.