Evidence map›Paper›PMID 41384971›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2026

[Pregnancy termination on YouTube, Instagram, and TikTok: a content and quality analysis].

Nicola Döring, Anastasiia Shevtsova, Claudia Schumann-Doermer

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nicola DöringInstitut für Medien und Kommunikationswissenschaft (IfMK), Technische Universität Ilmenau, Ehrenbergstraße 29, 98693, Ilmenau, Deutschland. nicola.doering@tu-ilmenau.de.
Anastasiia ShevtsovaInstitut für Medien und Kommunikationswissenschaft (IfMK), Technische Universität Ilmenau, Ehrenbergstraße 29, 98693, Ilmenau, Deutschland.
Claudia Schumann-DoermerDeutsche Gesellschaft für psychosomatische Frauenheilkunde und Geburtshilfe (DGPFG), Dresden, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYoung people and adults increasingly obtain information about pregnancy termination (PT) through social media. Against this background, the aim of this study is to investigate, for the first time, the content and quality of German-language PT videos on YouTube, Instagram, and TikTok. Research questions on provider types (research question 1: RQ1), content (RQ2), and quality of PT videos (RQ3) as well as audience reactions (RQ4) will be answered.

methodsA sample of N = 500 popular PT videos was drawn from YouTube (150), Instagram (150), and TikTok (200). For each video, up to 20 of the most liked topic-related audience comments were included in the sample (N = 4761). The videos and comments were analyzed using reliability-tested codebooks. Data analysis was conducted with R. The study is preregistered, and all data, materials, and analysis scripts are publicly available.

resultsThe PT videos predominantly originated from media professionals (49%) and only rarely from healthcare professionals (6%; RQ1). In terms of content, the majority of the videos represented a pro-choice position (54%) and frequently addressed medical care as well as psychological and physical experience (RQ2). According to quality criteria for health information, clear deficits were identified, with YouTube videos performing best in comparison (RQ3). TikTok videos, by contrast, led in audience engagement, recording the highest numbers of views, likes, and comments. Viewers used comment sections to express political positions and share personal experiences (RQ4). DISCUSSION: Future research as well as practice interventions are needed to further assess the quality of social media videos on pregnancy termination and improve it in a more targeted way.

Indexed as

Abortion, InducedConsumer Health InformationSocial MediaVideo RecordingDigital MediaFemaleGermanyHumansPregnancyAbortionHealth informationmDISCERN indexPregnancy terminationSocial media

Identifiers

PMID41384971
PMCPMC13212670

What OpenQuestion holds

Textmetadata
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.