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Cited by 15Sexuality, Behavior, and TechnologyEthics and Social Impacts of AIGender, Feminism, and Media

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

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Döring, Nicola, Le, Thuy Dung, Miller, Dan J.·2025·Archives of Sexual Behavior
DOI 10.1007/s10508-025-03227-x
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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.

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  • Recent advances in generative artificial intelligence have created additional avenues for accessing and producing highly customizable pornographic content.

    “Pornography has become increasingly accessible since the advent of the internet (Cooper, 1998), but recent advances in generative artificial intelligence have created additional avenues for accessing and producing highly customizable pornographic content (Döring et al., 2025).”

    From Examining Counselor Trainees’ Clinical Impressions of Pornography Use: Implications for Couple and Family Counselors (2026) · cites this paper as Döring et al., 2025

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Research works printed but not linked: 43

  1. Belcher, R. E., Sim, D., Meykler, M., Owens-Walton, J., Hassan, N., Rubin, R. S., & Malik, R. D. (2023). A qualitative analysis of female Reddit users’ experiences with low libido: How do women perceive their changes in sexual desire? Journal of Sexual Medicine, 20(3), 287–297. https://doi.org/10.1093/jsxmed/qdac045 · DOI
  2. Byron, P., Newton, J. D. A., Hanson, O., Oviedo-Trespalacios, O., Saliba, B., & Demant, D. (2024). Social media, self-pornography, and gay/bisexual/queer men’s psychosexual wellbeing. SCM Studies in Communication and Media, 13(4), 438–464. https://doi.org/10.5771/2192-4007-2024-4-438 · DOI
  3. Carroll, J. S., Busby, D. M., Willoughby, B. J., & Brown, C. C. (2016). The porn gap: Differences in men’s and women’s pornography patterns in couple relationships. Journal of Couple & Relationship Therapy, 16(2), 146–163. https://doi.org/10.1080/15332691.2016.1238796 · DOI
  4. Chasioti, D., & Binnie, J. (2021). Exploring the etiological pathways of problematic pornography use in NoFap/PornFree rebooting communities: A critical narrative analysis of internet forum data. Archives of Sexual Behavior, 50(5), 2227–2243. https://doi.org/10.1007/s10508-021-01930-z · DOI
  5. Deckker, D., & Sumanasekara, S. (2025). Artificial intelligence and pornography: A comprehensive research review. World Journal of Advanced Research and Reviews, 26(2), 618–637. https://doi.org/10.30574/wjarr.2025.26.2.1739 · DOI
  6. Döring, N. (2021). Erotic fan fiction. In A. D. Lykins (Ed.), Encyclopedia of sexuality and gender. Springer International Publishing. https://doi.org/10.1007/978-3-319-59531-3_65-1 · DOI
  7. Döring, N., & Schmitt, D. P. (2024). Sexual fantasies. In T. K. Shackelford (Ed.), Encyclopedia of sexual psychology and behavior. Springer. https://doi.org/10.1007/978-3-031-08956-5_2202-1 · DOI
  8. Hald, G. M., & Malamuth, N. M. (2008). Self-perceived effects of pornography consumption. Archives of Sexual Behavior, 37, 614–625. https://doi.org/10.1007/s10508-007-9212-1 · DOI
  9. Han, C., Li, A., Kumar, D., & Durumeric, Z. (2024). Characterizing the MrDeepFakes sexual deepfake marketplace. https://doi.org/10.48550/ARXIV.2410.11100 · DOI
  10. Hintz, E. A., & Betts, T. (2022). Reddit in communication research: Current status, future directions and best practices. Annals of the International Communication Association, 46(2), 116–133. https://doi.org/10.1080/23808985.2022.2064325 · DOI
  11. Jacobsen, B. N., & Simpson, J. (2024). The tensions of deepfakes. Information, Communication & Society, 27(6), 1095–1109. https://doi.org/10.1080/1369118X.2023.2234980 · DOI
  12. Kardos, B. (2025). Beyond the consent paradigm: Problematizing representations of AI-generated pornography in the education discourse of the UN. Policy Futures in Education, 23(5), 1021–1039. https://doi.org/10.1177/14782103251321045 · DOI
  13. Kim, S., & Banks, J. (2024) Expanding experiences and anxieties: gender-identity and sexual-orientation differences in attitudes toward synthetic pornography. Porn Studies. https://doi.org/10.1080/23268743.2024.2400945 · DOI
  14. Kohut, T., Fernandez, K., Fisher, W. A., & Campbell, L. (2024). What types of pornographic content are people using? A mixed-method analysis that highlights differences by gender and relationship context of use. SCM Studies in Communication and Media, 13(4), 465–504. https://doi.org/10.5771/2192-4007-2024-4-465 · DOI
  15. Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). Sage · DOI · Paper page
  16. Kugler, M. B., & Pace, C. (2021). Deepfake privacy: Attitudes and regulation. Northwestern Public Law Research Paper, 21(4), 611–680. https://doi.org/10.2139/ssrn.3781968 · DOI
  17. Laffier, J., & Rehman, A. (2023). Deepfakes and harm to women. Journal of Digital Life and Learning, 3(1), 1–21. https://doi.org/10.51357/jdll.v3i1.218 · DOI · Paper page
  18. Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310 · DOI · Paper page
  19. Lang, J., & Yarmel, A. (2024). The ethics of customizable AI-generated pornography. Midwest Ethics Symposium ’24: Artificial Intelligence, MES 2024 Ethics & Artificial Intelligence. https://scholarship.depauw.edu/midwest_ethics/2024/2024/22/
  20. Lapointe, V. A., Dubé, S., Rukhlyadyev, S., Kessai, T., & Lafortune, D. (2025). The present and future of adult entertainment: A content analysis of AI-generated pornography websites. Archives of Sexual Behavior. https://doi.org/10.1007/s10508-025-03099-1 · DOI
  21. Lasswell, H. (1948). The structure and function of communication in society. In L. Bryson (Ed.), The communication of ideas (pp. 37–51). Institute for Religious and Social Studies.
  22. Litsou, K., Graham, C., & Ingham, R. (2021). Women in relationships and their pornography use: A systematic review and thematic analysis. Journal of Sex & Marital Therapy, 47, 381–413. https://doi.org/10.1080/0092623X.2021.1885532 · DOI
  23. Maddocks, S. (2020). ‘A deepfake porn plot intended to silence me’: Exploring continuities between pornographic and ‘political’ deep fakes. Porn Studies, 7(4), 415–423. https://doi.org/10.1080/23268743.2020.1757499 · DOI · Paper page
  24. Makbul, N. E., Zannat, R., & Hale, B. J. (2024). Communicating sex work online: A content analysis of client and provider discourse in r/sexworkers. Journal of Sex Research, 61(7), 1050–1061. https://doi.org/10.1080/00224499.2023.2255180 · DOI
  25. Mania, K. (2024). Legal protection of revenge and deepfake porn victims in the European Union: Findings from a comparative legal study. Trauma, Violence, & Abuse, 25(1), 117–129. https://doi.org/10.1177/15248380221143772 · DOI
  26. Marini, M., Ansani, A., Demichelis, A., Mancini, G., Paglieri, F., & Viola, M. (2024). Real is the new sexy: The influence of perceived realness on self-reported arousal to sexual visual stimuli. Cognition and Emotion, 38(3), 348–360. https://doi.org/10.1080/02699931.2023.2296581 · DOI · Paper page
  27. McKee, A. (2007). The positive and negative effects of pornography as attributed by consumers. Australian Journal of Communication, 34(1), 87–104.
  28. Mentzer, K., Price, J., & Singh, J. (2024). Analyzing Reddit discourse surrounding generative AI. Issues in Information Systems, 25(3), 277–292. https://doi.org/10.48009/3_iis_2024_122 · DOI
  29. Miller, D. J., Somoray, K., & Stevens, H. (2025). A shallow history of deepfakes. SSRN. https://doi.org/10.2139/ssrn.5130379 · DOI
  30. Popova, M. (2020). Reading out of context: Pornographic deepfakes, celebrity and intimacy. Porn Studies, 7(4), 367–381. https://doi.org/10.1080/23268743.2019.1675090 · DOI
  31. Pornhub. (2024). 2024 year in review. https://www.pornhub.com/insights/2024-year-in-review
  32. Rocha-Silva, T., Nogueira, C., & Rodrigues, L. (2024). Passive data collection on Reddit: A practical approach. Research Ethics, 20(3), 453–470. https://doi.org/10.1177/17470161231210542 · DOI
  33. Sapienza, Z. S., Iyer, N., & Veenstra, A. S. (2015). Reading Lasswell’s model of communication backward: Three scholarly misconceptions. Mass Communication and Society, 18(5), 599–622. https://doi.org/10.1080/15205436.2015.1063666 · DOI
  34. Somoray, K., & Miller, D. J. (2023). Providing detection strategies to improve human detection of deepfakes: An experimental study. Computers in Human Behavior, 149, Article 107917. https://doi.org/10.1016/j.chb.2023.107917 · DOI · Paper page
  35. Stang, P., Weiss, M., Winkler, C., & Scholz, S. (2025). Changing conversations: The rise of gender and sexuality discourse on Reddit [Letter to the Editor]. Archives of Sexual Behavior, 54(1), 1–5. https://doi.org/10.1007/s10508-024-03051-9 · DOI
  36. Steel, C. M. (2024). Artificial intelligence and CSEM - A research agenda. Child Protection and Practice, 2, Article 100043. https://doi.org/10.1016/j.chipro.2024.100043 · DOI
  37. Story, D., & Jenkins, R. (2023). Deepfake pornography and the ethics of non-veridical representations. Philosophy & Technology, 36(3), 56. https://doi.org/10.1007/s13347-023-00657-0 · DOI
  38. Timmerman, B., Mehta, P., Deb, P., Gallagher, K., Dolan-Gavitt, B., Garg, S., & Greenstadt, R. (2023). Studying the online deepfake community. Journal of Online Trust and Safety, 2. https://doi.org/10.54501/jots.v2i1.126 · DOI · Paper page
  39. Wang, S., & Kim, S. (2022). Users’ emotional and behavioral responses to deepfake videos of K-pop idols. Computers in Human Behavior, 134, Article 107305. https://doi.org/10.1016/j.chb.2022.107305 · DOI
  40. Winter, R., & Salter, A. (2020). Deepfakes: Uncovering hardcore open source on GitHub. Porn Studies, 7(4), 382–397. https://doi.org/10.1080/23268743.2019.1642794 · DOI · Paper page
  41. Witt, A., Henry, N., & Beard, G. (2024). Judicial constructions of harm in Australian image-based sexual abuse case law: A feminist discourse analysis. Social & Legal Studies, 33(6), 951–972. https://doi.org/10.1177/09646639241233992 · DOI
  42. Wolbers, H., Cubitt, T., & Cahill, M. J. (2025). Artificial intelligence and child sexual abuse: A rapid evidence assessment. Trends and Issues in Crime and Criminal Justice, 711. https://doi.org/10.52922/ti77802 · DOI · Paper page
  43. Zheng, G., Shu, J., & Li, K. (2025). Regulating deepfakes between lex lata and lex ferenda—a comparative analysis of regulatory approaches in the U.S., the EU and China. Crime, Law and Social Change, 83. https://doi.org/10.1007/s10611-024-10197-z · DOI

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Metadata

Authors
Döring, N., Le, T. D., & Miller, D. J.
Affiliations
  • Technische Universität Ilmenau (DE)
  • James Cook University (AU)
Corresponding author
Döring, Nicola
ORCID
Venue
Archives of Sexual Behavior
Publisher
Springer Science and Business Media LLC
Published
2025-09-18
ISSN
  • 0004-0002 (ISSN-L)
  • 1573-2800
DOI
10.1007/s10508-025-03227-x
OpenAlex
W4414311952
Cited by
15
References
13
Citations by year
2026: 15
FWCI
12.35
Type
journal article
Language
en
Update notices
correction (2025-12-10)
Open access
Licence
Locations
  • Archives of Sexual Behavior (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ResearchOnline - JCU (James Cook University) (submittedVersion, cc-by)
Funders
Technische Universität Ilmenau
Topics
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Gender Studies › Gender, Feminism, and Media
Keywords
deepfake pornography, generative AI, legal and ethical issues

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