Evidence map›Paper›PMID 39516798›Full record

ReviewHarm reduction journal2024

Problematizing content moderation by social media platforms and its impact on digital harm reduction.

André Belchior Gomes, Aysel Sultan

Abstract readReview
In one paragraph

Review in Harm reduction journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
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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

2 authors.

André Belchior GomesRelease Legal Emergency & Drugs Service, London, UK.
Aysel SultanTechnical University of Munich, Munich, Germany. aysel.sultan@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have marked a shift in selling and buying illicit psychoactive drugs from darknet cryptomarkets to publicly accessible social media and messaging platforms. As more users turn to procuring drugs this way, the role of digital harm reduction has become particularly urgent. However, one of the main obstacles complicating the implementation of digital harm reduction is the increasingly automated content moderation by the social media platforms. While some platforms are less restrictive about harm reduction content (e.g., TikTok), others implement higher degrees of moderation, including the removal of individual content and banning of entire profile pages (e.g., Instagram). This article discusses community guidelines of five popular social media and messaging platforms and their content moderation tools. It aims to highlight how these guidelines may be inadvertently curbing the dissemination of harm reduction and health promotion materials, and erroneously interpreting it as a promotion of drug use and sales. The discussion concludes that digital harm reduction requires transdisciplinary collaboration of professional organizations, researchers, and social media platforms to ensure reliable implementation of digital harm reduction, and help build safer digital communities.

Indexed as

Harm ReductionSocial MediaHealth PromotionHumansIllicit DrugsSubstance-Related DisordersIllicit DrugsDigital drug marketsHarm reductionIllicit drugsInstagramSocial mediaTikTok

Identifiers

PMID39516798
PMCPMC11549828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.