arXiv:2606. 27234v1 Announce Type: cross Abstract: AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real individuals.
By Chi Cui, Yixin Wu, Yang Zhang
arXiv:2602. 02838v2 Announce Type: replace-cross Abstract: The detection of online influence operations -- coordinated campaigns by malicious actors to spread narratives -- has traditionally depended on content analysis or network features.
By Philipp J. Schneider, Lanqin Yuan, Marian-Andrei Rizoiu
The study investigates how the demographic makeup of crowdsourced moderators influences who is protected from perceived toxic content online. Using data from 16,221 U.S. respondents who evaluated over 100,000 comments from Twitter, Reddit, and 4chan, the authors find that moderators tend to protect users who share their own demographic identities, a pattern that is amplified when moderator pools mirror the demographics of Prolific participants. Even fully representative moderator groups fail to provide equal protection, leaving Black and LGB users underprotected unless they are overrepresented.
By Zhaodi Chen, Byungkyu Lee
arXiv:2606. 05256v1 Announce Type: new Abstract: This study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView.
By Kokil Jaidka, Saifuddin Ahmed
The study audits Bluesky’s Moderation Service (BMS) using its 10.6 million public moderation labels from 2025. It finds that BMS operates as a human‑AI collaboration: sexual and graphic content is flagged automatically in seconds, while more nuanced or high‑stakes content requires human review that can take hours or days. The system shows high precision (0.837) but low recall (0.222), with annotators detecting 4.5 times more harmful content than the system, and clustering reveals harms ranging from hostility toward protected groups to the spread of explicit material.
By Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar, Vabuk Pahari, Abhijnan Chakraborty, Krishna P. Gummadi, Ingmar Weber, Abhisek Dash
arXiv:2610.19267v1 Announce Type: cross
Abstract: Online memes are often carriers of unsafe content such as disinformation and propaganda. Their rapid evolution in response to news events and strong...
By Bo Shao, Yihan Ma, Yiting Qu, Michael Backes, Yang Zhang