Reporting Non-Consensual Intimate Media: An Audit Study of Deepfakes
Li Qiwei, Shihui Zhang, Andrew Timothy Kasper, Joshua Ashkinaze, Asia A. Eaton, Sarita Schoenebeck, Eric Gilbert
TL;DR
The paper investigates how reporting mechanisms affect the removal of non-consensual intimate media (NCIM) on X (Twitter). Using an audit with 50 AI-generated nude images across five deepfake personas, it shows that DMCA takedowns remove NCIM content within a mean of about 20–25 hours, while internal non-consensual nudity reports fail to remove content within 21 days. This reveals a substantial policy and enforcement gap between legally backed mechanisms and platform-internal policies. The authors argue for federally mandated NCIM legislation and enhanced platform accountability to protect victim-survivors and improve content moderation practices.
Abstract
Non-consensual intimate media (NCIM) inflicts significant harm. Currently, victim-survivors can use two mechanisms to report NCIM - as a non-consensual nudity violation or as copyright infringement. We conducted an audit study of takedown speed of NCIM reported to X (formerly Twitter) of both mechanisms. We uploaded 50 AI-generated nude images and reported half under X's "non-consensual nudity" reporting mechanism and half under its "copyright infringement" mechanism. The copyright condition resulted in successful image removal within 25 hours for all images (100% removal rate), while non-consensual nudity reports resulted in no image removal for over three weeks (0% removal rate). We stress the need for targeted legislation to regulate NCIM removal online. We also discuss ethical considerations for auditing NCIM on social platforms.
