Evidence map›Paper›PMID 40968214›Full record

ArticleArchives of sexual behavior2025

Experiences with AI-Generated Pornography: A Quantitative Content Analysis of Reddit Posts.

Nicola Döring, Thuy Dung Le, Dan J Miller

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

3 authors.

Nicola DöringDepartment of Economic Sciences and Media, Technische Universität Ilmenau, Ehrenbergstr. 29, 98693, Ilmenau, Germany. nicola.doering@tu-ilmenau.de.ORCID http://orcid.org/0000-0003-1299-4586
Thuy Dung LeDepartment of Economic Sciences and Media, Technische Universität Ilmenau, Ehrenbergstr. 29, 98693, Ilmenau, Germany.
Dan J MillerJames Cook University, Townsville, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rise of generative artificial intelligence (AI), a new form of pornography has emerged: AI-generated pornography (AI pornography, AI adult content, synthetic pornography). This phenomenon encompasses both entirely fictional content and deepfake pornography, which involves non-consensual depictions of celebrities and private individuals. While non-consensual deepfake pornography has sparked widespread concern, the broader range of experiences associated with AI pornography remains under-researched. This study aimed to address this gap by examining the spectrum of AI pornography experiences as shared on Reddit, adopting a communication process perspective. Specifically, it explored the following research questions (RQ): How do Reddit users address the production (RQ1), content (RQ2), use (RQ3), effects (RQ4), and ethical-legal implications (RQ5) of AI pornography in their posts? A total of 390 English-language public Reddit posts related to AI pornography were collected in August 2024 and analyzed using a manual quantitative content analysis guided by a reliability-tested codebook (mean Cohen's kappa = 0.88). The analysis revealed that the production (RQ1: 59.5%) and content (RQ2: 60.8%) of AI pornography were the most frequently discussed topics, while use experiences (RQ3: 12.8%) were the least represented. Effects (RQ4: 37.2%) and ethical-legal implications (RQ5: 35.1%) were addressed in approximately one-third of posts. The AI pornography experiences addressed in Reddit posts ranged from outrage and concern regarding its actual and potential harms to curiosity, enjoyment, and economic benefits, underscoring the need for a nuanced response from policymakers, technology developers, educators, and mental health professionals.

Indexed as

AI pornographyGenerative artificial intelligenceQuantitative content analysisRedditSynthetic pornography

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.