Evidence map›Paper›PMID 42902095›Full record

ArticleArchives of sexual behavior2026

Sex Education in the Age of Artificial Intelligence: A Qualitative Analysis of ChatGPT-3.5 Responses to Adolescents' Questions on Romantic Relationships and Sexuality.

Stéphanie Couture, Marie-Michèle Paquette, Roxanne Guyon, Martine Hébert, Mylène Fernet, Sophie Bergeron

Abstract read
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In one paragraph

Article in Archives of sexual behavior, 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
–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

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

6 authors.

Stéphanie CoutureDepartment of Psychiatry and Neuroscience, Université Laval, 1050, Avenue de La Médecine, Local 4889, Québec, QC, G1V 0A6, Canada. stephanie.couture@fmed.ulaval.ca.ORCID http://orcid.org/0000-0003-3838-7995
Marie-Michèle PaquetteDepartment of Psychology, Université de Montréal, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-5017-7264
Roxanne GuyonDepartment of Psychiatry and Neuroscience, Université Laval, 1050, Avenue de La Médecine, Local 4889, Québec, QC, G1V 0A6, Canada.ORCID http://orcid.org/0000-0002-1303-0618
Martine HébertDepartment of Sexology, Université du Québec À Montréal, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-4531-5124
Mylène FernetDepartment of Sexology, Université du Québec À Montréal, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-1961-2408
Sophie BergeronDepartment of Psychiatry and Neuroscience, Université Laval, 1050, Avenue de La Médecine, Local 4889, Québec, QC, G1V 0A6, Canada.ORCID http://orcid.org/0000-0001-8601-761X

Funding

Social Sciences and Humanities Research Council of Canada grant.14494762
6 · The paper itself

Abstract

Large language model chatbots, such as ChatGPT, have garnered increasing attention in the field of education, due to its versatility, processing speed, and widespread accessibility. However, its application to sexual education remains understudied, highlighting the need for more research into its potential to support informed decision-making among youth. The current study aimed to document ChatGPT-3.5 responses to adolescents' questions about romantic relationships and sexuality, using a more-than-human netnography approach. To obtain these responses, 393 anonymized emails written in French and English from adolescents aged 14 to 16 were collected from a recognized youth support organization. Data were obtained through ChatGPT-3.5 from January 14 to 31, 2024. The analyses focused on identifying content violations and describing the response formats, followed by a conventional content analysis of ChatGPT-3.5 recommendations. Overall, 17.8% of the emails were flagged as potentially violating ChatGPT-3.5's content policy. Responses were provided in two formats: (1) structured text or (2) continuous text that both included an introduction clarifying the question, normalizing the experience, and/or validating emotions; a list of recommendations; and a conclusion promoting support seeking, and/or a positive outlook. The recommendations aimed to encourage adolescents to embrace authenticity and personal agency, practice self-care and build self-confidence, engage in open communication, develop meaningful relationships, and seek support when needed. The findings highlight ChatGPT's potential to contribute to comprehensive sex education for adolescents seeking information.

Indexed as

AdolescenceGenerative artificial intelligenceNetnographyRomantic relationshipsSexuality education

Identifiers

What OpenQuestion holds

Textmetadata
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.