<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T21:26:52Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/10989" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/10989</identifier><datestamp>2025-10-24T09:32:26Z</datestamp><setSpec>com_10259_7570</setSpec><setSpec>com_10259_3989</setSpec><setSpec>com_10259.4_106</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_7571</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">Martínez-Pastor, Esther</subfield>
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<subfield code="a">Blanco-Ruiz, Marian</subfield>
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<subfield code="a">Sanmartín Feijóo, Sandra</subfield>
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<subfield code="c">2025-10</subfield>
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<subfield code="a">This study examines the digital representation of Non-Suicidal Self-Injury (NSSI)&#xd;
on TikTok, with particular attention to the emergence of online communities&#xd;
and the communicative strategies users employ to share content while evading&#xd;
platform moderation. As TikTok becomes increasingly influential among&#xd;
adolescents and young adults, understanding how sensitive mental health&#xd;
topics like NSSI circulate on the platform is critical for developing effective&#xd;
digital health interventions. We conducted a qualitative content analysis of 400&#xd;
posts referencing NSSI, collected using a mixed-method approach: 25.5%&#xd;
using TikTok’s official API and 74.5% via the “For You” feed of a simulated&#xd;
account designed to mirror organic user experience. Posts were selected&#xd;
based on visual indicators (e.g., scars, tools), textual cues (e.g., hashtags,&#xd;
metaphors), and thematic references to emotional distress, recovery, or&#xd;
relapse. The analysis focused on user profile characteristics, linguistic strategies,&#xd;
and audiovisual aesthetics. Findings reveal a loosely structured yet emotionally&#xd;
resonant digital community characterized by subcultural codes, such as&#xd;
euphemisms, ambiguous hashtags, and stylized imagery. Despite content&#xd;
moderation policies, most accounts remained active and visible, with minimal&#xd;
enforcement of warnings or restrictions. While some posts portray NSSI as a&#xd;
coping strategy or seek to normalize the behavior, others subtly encourage&#xd;
recovery or offer indirect support. However, explicit messaging that&#xd;
discourages self-harm is notably rare. These dynamics suggest that TikTok&#xd;
unintentionally enables both the concealment and dissemination of self-harmrelated content, functioning as a space for affective connection but also as a&#xd;
vector for potential normalization of harmful behaviors. The study underscores&#xd;
the need for targeted, ethically grounded prevention strategies that address not&#xd;
only the psychological functions of these communities but also the&#xd;
algorithmic infrastructures that sustain their visibility. These findings contribute&#xd;
to ongoing debates about digital mental health, platform responsibility, and the&#xd;
design of safer online environments.</subfield>
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<subfield code="a">https://hdl.handle.net/10259/10989</subfield>
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<subfield code="a">10.3389/fdgth.2025.1645276</subfield>
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<subfield code="a">2673-253X</subfield>
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<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Non-Suicidal Self-Injury (NSSI</subfield>
</datafield>
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<subfield code="a">Self-harm</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Digital mental health</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Online peer support</subfield>
</datafield>
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<subfield code="a">Social media platforms</subfield>
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<subfield code="a">TikTok</subfield>
</datafield>
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<subfield code="a">Adolescents and young adults</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Social media influence</subfield>
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<subfield code="a">Digital mental health and hidden support: a qualitative analysis of non-suicidal self-injury communities on TikTok</subfield>
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