Open access Journal
Access to Justice for Deepfake Victims in Indonesia: A Normative Analysis of Privacy Rights Protection
The Indonesian Journal of International Clinical Legal Education · Vol. 8 No. 3 (2026) · pp. 451–478
- ISSN
- 2721-8368
- Published
- 2026-10-17
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Deepfake technology poses growing threats to privacy and personal dignity in Indonesia, particularly through the creation and dissemination of non-consensual synthetic intimate imagery. This study examines the extent to which Indonesia’s legal framework facilitates or constrains access to justice for victims of such practices and identifies the normative, procedural, institutional, and sociocultural barriers to effective legal protection. Employing normative legal research with statutory and conceptual approaches, the study analyzes primary and secondary legal materials, institutional reports, and selected comparative legal sources. The analysis draws primarily on the Access to Justice framework, complemented by Satjipto Rahardjo’s Progressive Law theory to assess how existing legal provisions can be interpreted responsively to technological developments. The findings indicate that Indonesian law provides partial protection through the Electronic Information and Transactions Law, the Sexual Violence Crimes Law, the Personal Data Protection Law, the Pornography Law, and the new Criminal Code. However, these legal instruments remain fragmented and do not adequately address the specific challenges associated with the creation, identity misuse, and dissemination of synthetic intimate imagery. In particular, gaps in legal characterization, procedural mechanisms, digital evidence management, and institutional coordination may impede victims’ access to effective remedies. This study proposes a victim-centred interim framework encompassing prompt content removal, privacy restoration, accessible reporting mechanisms, reliable digital evidence preservation, and enhanced institutional capacity. These measures should be complemented by legislative reform that expressly addresses deepfake-related harms and clarifies the responsibilities of digital platforms. Comparative experiences from South Korea, the United Kingdom, and Australia are examined selectively to identify regulatory approaches that may be adapted to Indonesia’s legal and institutional context. The study contributes to the development of a more coherent and responsive legal framework for protecting deepfake victims and strengthening access to justice in Indonesia.
Keywords
Collaboration network of the authors
23 authors · 60 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Anis Widyawati | Affiliation unknown | 2 |
| Dani Muhtada | Affiliation unknown | 1 |
| Ratih Damayanti | State University of Semarang | 1 |
| Feiruz Rachmita Alamsyah | Affiliation unknown | 1 |
| Muhammad Azil Masykur | Affiliation unknown | 1 |
| Dewi Sulistianingsih | State University of Semarang | 1 |
| Dewi Fatmawati | Affiliation unknown | 1 |
| Martitah Martitah | Affiliation unknown | 1 |
| Ayuk Anggeraeni | Affiliation unknown | 1 |
| Indah Sri Utari | Affiliation unknown | 1 |
| Aprila Niravita | Affiliation unknown | 1 |
| Muhammad Haidar Ghoni | Affiliation unknown | 1 |
| Muhammad Azzam | Affiliation unknown | 1 |
| Edy Sujendro | Affiliation unknown | 1 |
| Yoghi Arief Susanto | Affiliation unknown | 1 |
| Mohammad Azzayyan Haykal Aditya | Affiliation unknown | 1 |
| Cahya Wulandari | State University of Semarang | 1 |
| Vera Desti Puspitasari | Affiliation unknown | 1 |
| Kaila Intan Fatihah | Affiliation unknown | 1 |
| Ridwan Arifin | Affiliation unknown | 1 |
| Zico Junius Fernando | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.