Evidence map›Paper›PMID 39254628›Full record

ArticleJournal of sex research

Large Language Models in an App: Conducting a Qualitative Synthetic Data Analysis of How Snapchat's "My AI" Responds to Questions About Sexual Consent, Sexual Refusals, Sexual Assault, and Sexting.

Tiffany L Marcantonio, Gracie Avery, Anna Thrash, Ruschelle M Leone

Abstract read
In one paragraph

Article in Journal of sex research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Tiffany L MarcantonioDepartment of Health Science, College of Human Environmental Sciences, University of Alabama.ORCID 0000-0003-1087-7554
Gracie AveryDepartment of Health Science, College of Human Environmental Sciences, University of Alabama.
Anna ThrashDepartment of Health Science, College of Human Environmental Sciences, University of Alabama.
Ruschelle M LeoneDepartment of Health Policy and Behavioral Sciences, School of Public Health, Georgia State University.

Funding

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 L30 AA028649NIAAA NIH HHS L30 AA031129
6 · The paper itself

Abstract

Comprehensive sexual health education for young people often remains largely inaccessible, leaving gaps in knowledge about sexual consent, refusals, sexual assault, and sexting. Snapchat's My AI, tailored to its users, offers accessible and potentially stigma-free responses to sexual health queries, showing promise in addressing these gaps. This study aimed to evaluate My AI's effectiveness in handling questions related to sexual communication, assault, and sexting, and its response consistency across users. Collaborating with young adults and leveraging prior literature, our team formulated questions on sexual consent, refusals, sexual assault, and sexting submitted to My AI by 15 researchers. Each team member opened a chat with My AI in Snapchat and asked it a set of questions in the same order. We then conducted a qualitative content analysis to assess for consistency across users. My AI responses emphasized the importance of clear, honest consent and refusal communication through physical contact or direct conversation. With potential experiences of sexual assault or sexting, it advised consultation with a trusted caregiver. While My AI provided similar responses across researchers, variations were noted. My AI's responses mirrored common sexual health education messages and the responses used language reflective of sympathy toward potential assault victims or those who were asked for sexual images. My AI's potential to enhance accessibility to sexual health information could empower young people in making informed sexual health decisions. However, variability in responses may limit impact and comprehension, underscoring the importance of educators complementing these tools.

Indexed as

Mobile ApplicationsSex EducationSex OffensesSexual BehaviorSexual HealthAdolescentAdultFemaleHumansLarge Language ModelsMaleQualitative ResearchYoung Adult

Identifiers

PMID39254628
PMCPMC11891083

What OpenQuestion holds

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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.