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1000 Titel
  • Problematizing content moderation by social media platforms and its impact on digital harm reduction
1000 Autor/in
  1. Gomes, André Belchior |
  2. Sultan, Aysel |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-11-09
1000 Erschienen in
1000 Quellenangabe
  • 21(1):194
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12954-024-01104-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11549828/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>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.</jats:p>
1000 Sacherschließung
lokal Digital drug markets
lokal Illicit Drugs [MeSH]
lokal Humans [MeSH]
lokal TikTok
lokal Harm reduction
lokal Illicit drugs
lokal Perspective
lokal Social Media [MeSH]
lokal Instagram
lokal Substance-Related Disorders/prevention
lokal Health Promotion/methods [MeSH]
lokal Harm Reduction [MeSH]
lokal Social media
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R29tZXMsIEFuZHLDqSBCZWxjaGlvcg==|https://frl.publisso.de/adhoc/uri/U3VsdGFuLCBBeXNlbA==
1000 Hinweis
  • DeepGreen-ID: 74915671ce184425aa31739b69b018d6 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Förderer
  1. Technische Universität München |
1000 Fördernummer
  1. -
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  1. -
1000 Dateien
1000 Förderung
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    1000 Förderer Technische Universität München |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6520459.rdf
1000 Erstellt am 2025-07-06T01:05:13.867+0200
1000 Erstellt von 322
1000 beschreibt frl:6520459
1000 Zuletzt bearbeitet 2025-08-06T10:15:40.197+0200
1000 Objekt bearb. Wed Aug 06 10:15:40 CEST 2025
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6520459 |
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