ArticleDigital health
#selfharn on Instagram: understanding online communities surrounding non-suicidal self-injury through conversations and common properties among authors.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Impact of Web-Based Sharing and Viewing of Self-Harm-Related Videos and Photographs on Young People: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Risky social media challenges: a scoping review, 2000-2024.Injury epidemiology · 2025Review
- Mediating effect of self-concealment between non-suicidal self-injury and internet addiction in college students: a cross-sectional study.BMC psychology · 2023Article
- Social media-based interventions for adolescent and young adult mental health: A scoping review.Internet interventions · 2022Article
- #Nomask on Instagram: Exploring Visual Representations of the Antisocial Norm on Social Media.International journal of environmental research and public health · 2022Article
- #Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectives#selfharm has been blocked by Instagram, but manoeuvring hashtags (e.g. #selfharn) are beginning to appear in order for secret non-suicidal self-injury (NSSI) communities to communicate. The purpose of this study was to (a) determine the nature of the #selfharn conversation on Instagram, (b) analyze common properties of the visual content (i.e. images and videos;
methodsA multi-method approach was utilized for this study. Netlytic was used to generate a text and content analysis to examine the authors' captions and comments (
resultsAfter removing #selfharn from the dataset, the text analysis revealed that #depression (
conclusionAccording to the text and content analyses, #selfharn on Instagram may be contributing negatively to an online community of mental-health issues. More resources should be provided by Instagram to those who are involved in the NSSI Instagram community.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.