Evidence map›Paper›PMID 40069429›Full record

ArticleArchives of sexual behavior2025

Parental and Artificial Intelligence Perspectives on Adolescent Sexting: A Comparative Analysis.

Tsameret Ricon, Michal Dolev-Cohen

Erratum issuedAbstract read
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In one paragraph

Article in Archives of sexual behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Tsameret RiconFaculty of Graduate Studies, Oranim Academic College of Education, 36006, Tivon, Israel. tsricon@gmail.com.ORCID https://orcid.org/0000-0003-2231-701X
Michal Dolev-CohenFaculty of Graduate Studies, Oranim Academic College of Education, 36006, Tivon, Israel.ORCID https://orcid.org/0000-0003-2311-170X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the perspectives of artificial intelligence (AI) language models on the complex issue of sexting among adolescents, comparing their ability to mediate and manage quality communication on the topic with traditional parental mediation strategies. Drawing on a survey of 427 parents, the research compared parental attitudes, communication patterns, and mediation approaches to the outputs generated by four AI systems. The findings revealed that AI models emphasize to emphasize restrictive mediation strategies and highlight the perceived susceptibility and severity of sexting, while parental responses were varied. Notably, the AI systems differed in predicting dysfunctional parent-child communication on sexting, suggesting divergent implicit models of ideal communication dynamics. By comparing AI-generated responses with human reactions, this research offers initial insights into the significance of parental communication with adolescents regarding sexting and the potential limitations of current language models in promoting improved discussions between parents and adolescents on sensitive topics.

Indexed as

Adolescent sextingAI language modelsParental mediationParent–child communicationProtection motivation theory

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.