Abstract

Twitter is a platform that plays an important role in the dissemination of information and digital interaction in Indonesia. Its ability to reach a large user base makes Twitter one of the most frequently misused applications in digital crimes, particularly in cases involving the distribution of child pornography content. In 2023, there were 156 recorded cases of child pornography content on Twitter. This research aims to obtain mobile forensic evidence related to the distribution of child pornography through the Twitter application using the Digital Forensic Research Workshop (DFRWS) methodology. This method consists of six stages: identification, preservation, collection, examination, analysis, and presentation. The data used in this investigation was taken from the perpetrator’s rooted device, from which data extraction was performed using Magnet Axiom. The examination of evidence was then carried out with three forensic tools: Magnet Axiom, Autopsy, and Oxygen Forensic Detective. The digital evidence obtained through these tools includes direct messages sent by the victim, five deleted posts, the perpetrator’s activity history, and image-based posting evidence. The investigation results showed that Magnet Axiom had the highest accuracy rate at 68%, successfully recovering deleted direct messages from the perpetrator, five captions posted by the perpetrator, as well as images and links that were shared. Oxygen Forensic recorded an accuracy rate of 50%, successfully recovering messages and metadata from two deleted posts. Meanwhile, Autopsy achieved an accuracy rate of 43.75%, successfully retrieving account information and deleted captions. The findings of this research indicate that the DFRWS method can be effectively applied in digital forensic investigations involving social media platforms.

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