Evidence map›Paper›PMID 39509697›Full record

ArticleJMIR formative research2024

#TraumaTok-TikTok Videos Relating to Trauma: Content Analysis.

Alix Woolard, Rigel Paciente, Emily Munro, Nicole Wickens, Gabriella Wells, Daniel Ta, Joelie Mandzufas, Karen Lombardi

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alix WoolardThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0003-3427-351X
Rigel PacienteThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0003-2947-988X
Emily MunroThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0001-7677-0878
Nicole WickensThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0002-7202-7187
Gabriella WellsThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0002-5189-4329
Daniel TaThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0001-9875-0704
Joelie MandzufasThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0003-4236-1384
Karen LombardiThe Kids Research Institute Australia, Nedlands, Australia.ORCID 0000-0001-8016-2197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperiencing a traumatic event can significantly impact mental and emotional well-being. Social media platforms offer spaces for sharing stories, seeking support, and accessing psychoeducation. TikTok (ByteDance), a rapidly growing social media platform, is increasingly used for advice, validation, and information, although the content of this requires further study. Research is particularly needed to better understand TikTok content relating to trauma and the potential implications for young viewers, considering the distressing nature of the subject and the possibility of users experiencing vicarious trauma through exposure to these videos.

objectiveThis study aims to explore the content of trauma-related videos on TikTok, focusing on hashtags related to trauma. Specifically, this study analyzes how TikTok videos present information, advice, stories, and support relating to trauma.

methodsA quantitative cross-sectional descriptive content analysis was performed on TikTok in December 2022. A total of 5 hashtags related to trauma were selected: #trauma, #traumatized, #traumatok, #traumatic, and #traumabond, with the top 50 videos from each hashtag analyzed (total N=250 videos). A standardized codebook was developed inductively to analyze the content of the videos, while an existing generic codebook was used to collect the video features (eg, age of people in the video) and metadata (likes, comments, and shares) for each video.

resultsA total of 2 major content themes were identified, which were instructional videos (54/250, 21.6%) and videos disclosing personal stories (168/250, 67.3%). The videos garnered significant engagement, with a total of 296.6 million likes, 2.3 million comments, and 4.6 million shares, indicating that users find this content engaging and useful. Alarmingly, only 3.7% (9/250) of videos included a trigger warning, despite many featuring highly distressing stories that young people and those with trauma may be exposed to.

conclusionsThe study highlights the potential risks of vicarious trauma due to trauma dumping without trigger warnings on TikTok, and the need for further research to assess the accuracy of advice and information in these videos. However, it also underscores the platform's potential to foster social connections, provide validation, and reduce stigma around mental health issues. Public health professionals should leverage social media to disseminate accurate mental health information, while promoting user education and content moderation to mitigate potential harms. People often use social media, such as TikTok to share advice, stories, and support around mental health, including their experiences with trauma. Out of 250 videos, most were either giving advice (54/250, 21.6%) or sharing personal experiences (168/250, 67.3%). The study found many videos lacked warnings about upsetting content, which could potentially harm young viewers or people suffering from trauma. While TikTok can help people feel connected and reduce the stigma around mental health, it is important to seek support from professionals when needed.

Indexed as

Social MediaAdultCross-Sectional StudiesFemaleHumansMalePsychological TraumaVideo RecordingYoung Adultcontent analysispublic healthsocial mediaTikToktraumatraumatic eventstraumatic stress

Identifiers

PMID39509697
PMCPMC11582486

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.