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Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models
March 29, 2024, 4:42 a.m. | Keyan Guo, Ayush Utkarsh, Wenbo Ding, Isabelle Ondracek, Ziming Zhao, Guo Freeman, Nishant Vishwamitra, Hongxin Hu
cs.LG updates on arXiv.org arxiv.org
Abstract: Online user-generated content games (UGCGs) are increasingly popular among children and adolescents for social interaction and more creative online entertainment. However, they pose a heightened risk of exposure to explicit content, raising growing concerns for the online safety of children and adolescents. Despite these concerns, few studies have addressed the issue of illicit image-based promotions of unsafe UGCGs on social media, which can inadvertently attract young users. This challenge arises from the difficulty of obtaining …
abstract arxiv children concerns creative cs.cl cs.cy cs.lg cs.si entertainment games generated however image language language models popular promotion risk safety social type vision vision-language models
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