TruaceTracing the truth around AIThursday, August 27, 2026
TRV-2026-0130Version 5 · Sources changed

Written 2026-08-20 06:06:07 UTC · current record

Reason for this version

Source set updated

Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-0130
version: 5
kind: sources_changed
reason: Source set updated
timestamp: 2026-08-20T06:06:07.348199Z
status: published
lens: p_space
sector: crime
headline: Handling The Crime of Manipulating Children's Photos That Violate The Morality of Studies at The Cirebon City Police
dek: Background. The development of information technology and Artificial Intelligence (AI) has given rise to various forms of cybercrime, one of which is the criminal act of manipulating indecent images of children. Aims. This study aims to identify the modus operandi and the handling of criminal acts involving the manipulation of indecent images of children by the police. The research method employed is normative legal research using statutory, conceptual, and case approaches. The data were obtained through a liter…
gain_title: (none)
problem_title: Perpetrators obtain children's photos from social media and use AI-based applications to manipulate them into indecent content constituting digital pornography.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: Perpetrators obtain children's photos from social media and use AI-based applications to manipulate them into indecent content constituting digital pornography.
problem_evidence: manipulated using Artificial Intelligence-based applications to produce indecent content | obtaining victims' photographs through social media or other digital platforms
quick_read: By June 2026, researchers documented a cybercrime pattern in Cirebon where perpetrators obtained children's photographs from social media or other digital platforms and manipulated them using Artificial Intelligence-based applications to produce indecent content.

The case matters because it shows AI lowering the barrier to creating child sexual exploitation material from ordinary photos, while police handling under Indonesia's ITE, Pornography, and Child Protection laws is constrained by forensic staffing and facilities, leaving questions about detection scale and victim protection.
limitation: 
tag: Evidence-backed problem
key_points: Modus operandi involves obtaining victims' photographs through social media or other digital platforms then manipulating them with AI-based applications. | Police handling includes receiving reports, collecting evidence, examining witnesses, and coordinating with information technology experts. | Cases are handled juridically under Law Number 1 of 2024 on Electronic Information and Transactions, Law Number 44 of 2008 on Pornography, and Law Number 35 of 2014 on Child Protection.
rundown: The study used normative legal research with statutory, conceptual, and case approaches, supported by literature review, interviews, and case documents from Cirebon City Police.

Findings categorize the act as cybercrime violating moral norms and digital pornography, with police procedure documented as report intake, evidence collection, witness examination, and IT expert coordination.
sources:
- peer_reviewed | Child in a Digital World | https://doi.org/10.61365/forum.2023.055 | 2023-01-01
- peer_reviewed | Child in a Digital World | https://doi.org/10.61365/forum.2023.085 | 2023-01-01
- peer_reviewed | Electronics | https://doi.org/10.3390/electronics12112496 | 2023-06-01
- peer_reviewed | International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique | https://doi.org/10.1007/s11196-024-10179-3 | 2024-07-24
- peer_reviewed | Jurnal Legisci | https://doi.org/10.62885/legisci.v3i6.1190 | 2026-06-13
prev: 4acdb399ffc202fc20441121f74e0ad7f4cbe0864329ad2f48d41592751c31c5
sha256
848f1a9c81b8841a69c67aa42389b2c51526ca77967591479e9d5b2b76447931
previous
4acdb399ffc202fc20441121f74e0ad7f4cbe0864329ad2f48d41592751c31c5
Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0130 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.