Criminal Liability for the Spread of Deep Fake-Based Pornographic Content on Social Media
DOI:
https://doi.org/10.59188/devotion.v7i6.25735Keywords:
deepfake, pornography, criminal liability, artificial intelligence, criminal lawAbstract
The development of artificial intelligence (AI) technology has given rise to various digital innovations, one of which is deepfake technology, which can manipulate images, videos, or audio to make them appear authentic. In addition to providing benefits, this technology also has the potential to be misused to create and disseminate pornographic content without the victim’s consent. Such actions can harm the victim’s honor, privacy, reputation, and psychological well-being, thereby creating legal issues that require adequate regulation and enforcement. This study aims to analyze the legal regulation and criminal liability of perpetrators involved in the dissemination of deepfake-based pornographic content in Indonesia. The method used is normative legal research with statutory and conceptual approaches. The research data were obtained through a literature review of laws and regulations, legal literature, scientific journals, and other relevant legal sources, and were then analyzed qualitatively. The results of the study show that the dissemination of deepfake-based pornographic content essentially fulfills the elements of a criminal offense and that perpetrators may be held criminally liable. Although there is no specific regulation on deepfakes, these acts may be prosecuted under the Pornography Law, the Electronic Information and Transactions Law, the Criminal Code, and the Personal Data Protection Law. However, law enforcement still faces obstacles related to regulatory limitations, digital evidence, and the identification of perpetrators. Therefore, more adaptive legal reform and the strengthening of law enforcement capacity are needed to ensure legal certainty and effective protection for victims.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Rangga Agin Wijaya, Endang Sutrisno , M. Noupel

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.






