Evidence map›Paper›PMID 37707442›Full record

ArticleJournal of sex research2025

Hey ChatGPT, Let's Talk About Sexual Consent.

Tiffany L Marcantonio, Karen E Nielsen, Michelle Haikalis, Ruschelle M Leone, Jacqueline Woerner, Elizabeth C Neilson, Anne Marie Schipani-McLaughlin

Open access · greenAbstract read
In one paragraph

Article in Journal of sex research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Tiffany L MarcantonioDepartment of Health Science, College of Human Environmental Sciences, University of Alabama.ORCID 0000-0003-1087-7554
Karen E NielsenPopulation Health Science, School of Public Health, Georgia State University.
Michelle HaikalisDepartment of Behavioral and Social Sciences, School of Public Health, Center for Alcohol and Addiction Studies, Brown University.ORCID 0000-0003-1062-5314
Ruschelle M LeoneDepartment of Health Policy and Behavioral Sciences, School of Public Health, Georgia State University.ORCID 0000-0002-7179-398X
Jacqueline WoernerDepartment of Sociology, University of Central Florida.ORCID 0000-0002-6704-5372
Elizabeth C NeilsonDepartment of Psychology, Eastern Michigan University.ORCID 0000-0002-4138-8748
Anne Marie Schipani-McLaughlinDepartment of Health Policy and Behavioral Sciences, School of Public Health, Georgia State University.
Georgia State University · USEastern Michigan University · USJohn Brown University · USUniversity of Alabama · USUniversity of Central Florida · US

Funding

Event-Level Analysis of Alcohol Use and Bystander Behavior in Social Drinking Contexts: A Novel Approach to Inform Alcohol-Related Sexual Assault PreventionK08AA029181 · NIAAA · BROWN UNIVERSITY · PI Michelle Haikalis · 2022 to 2026
$973k
Development of an Alcohol, Cannabis, and Sexual Assault Risk Reduction Program for High Risk College WomenK01AA028844 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI LEONE, RUSCHELLE MARIE · 2021 to 2025
$926k
NIAAA NIH HHS K01 AA028844NIAAA NIH HHS K08 AA029181NIAAA NIH HHS L30 AA028649NIAAA NIH HHS L30 AA031129
6 · The paper itself

Abstract

Access to sexual health education, such as education on sexual consent, is limited in the US. Artificial intelligence (AI), such as ChatGPT, provides a potential opportunity to increase access to sexual consent information and education. However, what ChatGPT knows about sexual consent and if this aligns with the current evidence-based literature on sexual consent is unclear. The goal of this research commentary was to explore what ChatGPT knows about sexual consent with a focus on: 1) the definition of consent, 2) how consent could be communicated, and 3) the impact that substances have on consent. We also examined the reliability of ChatGPT's responses by having three different researchers ask ChatGPT the same set of questions. Across our questions, ChatGPT provided similar and comprehensive responses that discussed key features of consent - that consent is freely given or reversible. ChatGPT provided examples of different verbal and nonverbal cues people can use to communicate and interpret consent and discussed the ways that substances can impact consent communication. Overall, ChatGPT could be a potential resource for educators and young people who seek information about sexual consent; however, we should proceed with caution. ChatGPT is not a replacement for an educator but rather a way to increase access to education.

Indexed as

Artificial IntelligenceSex EducationSexual BehaviorAdolescentAdultFemaleGenerative Artificial IntelligenceHumansMaleYoung Adult

Identifiers

PMID37707442
PMCPMC10937333
OpenAlexW4386725616

What OpenQuestion holds

Textmetadata
LicenceTDM
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.