Article Accepted Manuscript

Insufficient quality of mental health information on German-speaking TikTok [Author Accepted Manuscript]

Author(s) / Creator(s)

Mross, Aaron
Koelkebeck, Katja
Takahashi, Hidehiko
Langenbach, Benedikt

Abstract / Description

Background: The increasing popularity of mental-health information on social media platforms such as TikTok is raising concerns regarding misinformation. Previous research is limited to single disorders and videos in the English language only. Our objective was to investigate the quality of mental-health information on German-language TikTok for a broader spectrum of disorders. Method: Thirty German-language TikTok-videos of each of the six most viewed hashtags on mental disorders (attention-deficit and hyperactivity disorder (ADHD), depression, autism, anxiety disorder, narcissism and post-traumatic stress disorder (PTSD)) were classified regarding authorship and rated either as “correct”, “overgeneralized”, “incorrect” or “subjective experience”. The modified DISCERN (mDISCERN) and the Global Quality Scale (GQS) were used to rate reliability and quality of information for patients. Results: The 177 videos finally included in this study gathered a total of 94,348,220 views and 19.2% (n=34) of the videos were rated as correct, 33.3% (n=59) as incorrect, 18.1% (n=32) as overgeneralized and 29.4% (n=52) as personal experience. Chi-Square tests and Kruskal-Wallis tests showed significant relationships between either authorship or diagnosis and quality and reliability. Videos on PTSD and videos by expert authors showed the best and videos on narcissism and videos by layperson the worst overall results. Conclusion: With around half of the analyzed videos supplying incorrect information, the quality of German-language TikTok mental-health content is insufficient. Differences in quality of content seem to be influenced by the topic and the authorship. Healthcare institutions and clinicians should be aware of this, educate patients accordingly and could improve the quality of information by participating in online discourses.

Keyword(s)

TikTok misinformation ADHD ASD Depression Anxiety Narcissism PTSD

Persistent Identifier

Date of first publication

2025-10-21

Journal title

Clinical Psychology in Europe

Publisher

PsychArchives

Publication status

acceptedVersion

Review status

reviewed

Is version of

Citation

Mross, A., Koelkebeck, K., Takahashi, H., & Langenbach, B. (in press). Insufficient quality of mental health information on German-speaking TikTok [Author Accepted Manuscript]. Clinical Psychology in Europe. https://doi.org/10.23668/psycharchives.21310
  • Author(s) / Creator(s)
    Mross, Aaron
  • Author(s) / Creator(s)
    Koelkebeck, Katja
  • Author(s) / Creator(s)
    Takahashi, Hidehiko
  • Author(s) / Creator(s)
    Langenbach, Benedikt
  • PsychArchives acquisition timestamp
    2025-10-21T14:19:37Z
  • Made available on
    2025-10-21T14:19:37Z
  • Date of first publication
    2025-10-21
  • Abstract / Description
    Background: The increasing popularity of mental-health information on social media platforms such as TikTok is raising concerns regarding misinformation. Previous research is limited to single disorders and videos in the English language only. Our objective was to investigate the quality of mental-health information on German-language TikTok for a broader spectrum of disorders. Method: Thirty German-language TikTok-videos of each of the six most viewed hashtags on mental disorders (attention-deficit and hyperactivity disorder (ADHD), depression, autism, anxiety disorder, narcissism and post-traumatic stress disorder (PTSD)) were classified regarding authorship and rated either as “correct”, “overgeneralized”, “incorrect” or “subjective experience”. The modified DISCERN (mDISCERN) and the Global Quality Scale (GQS) were used to rate reliability and quality of information for patients. Results: The 177 videos finally included in this study gathered a total of 94,348,220 views and 19.2% (n=34) of the videos were rated as correct, 33.3% (n=59) as incorrect, 18.1% (n=32) as overgeneralized and 29.4% (n=52) as personal experience. Chi-Square tests and Kruskal-Wallis tests showed significant relationships between either authorship or diagnosis and quality and reliability. Videos on PTSD and videos by expert authors showed the best and videos on narcissism and videos by layperson the worst overall results. Conclusion: With around half of the analyzed videos supplying incorrect information, the quality of German-language TikTok mental-health content is insufficient. Differences in quality of content seem to be influenced by the topic and the authorship. Healthcare institutions and clinicians should be aware of this, educate patients accordingly and could improve the quality of information by participating in online discourses.
    en
  • Publication status
    acceptedVersion
  • Review status
    reviewed
  • Citation
    Mross, A., Koelkebeck, K., Takahashi, H., & Langenbach, B. (in press). Insufficient quality of mental health information on German-speaking TikTok [Author Accepted Manuscript]. Clinical Psychology in Europe. https://doi.org/10.23668/psycharchives.21310
  • ISSN
    2625-3410
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/16703
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.21310
  • Language of content
    eng
  • Publisher
    PsychArchives
  • Is version of
    https://doi.org/10.32872/cpe.17279
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/16785
  • Keyword(s)
    TikTok
  • Keyword(s)
    misinformation
  • Keyword(s)
    ADHD
  • Keyword(s)
    ASD
  • Keyword(s)
    Depression
  • Keyword(s)
    Anxiety
  • Keyword(s)
    Narcissism
  • Keyword(s)
    PTSD
  • Dewey Decimal Classification number(s)
    150
  • Title
    Insufficient quality of mental health information on German-speaking TikTok [Author Accepted Manuscript]
    en
  • DRO type
    article
  • Journal title
    Clinical Psychology in Europe
  • Visible tag(s)
    PsychOpen GOLD
  • Visible tag(s)
    Accepted Manuscript