Exploring the Use of Abusive Generative AI Models on Civitai

Authors: Yiluo Wei, Yiming Zhu, Pan Hui, Gareth Tyson

Published: 2024-07-16 06:18:03+00:00

AI Summary

This paper presents the first large-scale empirical study of the Civitai AIGC platform, focusing on the prevalence of abusive content. The authors analyze a dataset of 87,000 models and 2 million images to characterize the themes, popularity, and user engagement related to NSFW content and deepfakes, finding a significant presence of both.

Abstract

The rise of generative AI is transforming the landscape of digital imagery, and exerting a significant influence on online creative communities. This has led to the emergence of AI-Generated Content (AIGC) social platforms, such as Civitai. These distinctive social platforms allow users to build and share their own generative AI models, thereby enhancing the potential for more diverse artistic expression. Designed in the vein of social networks, they also provide artists with the means to showcase their creations (generated from the models), engage in discussions, and obtain feedback, thus nurturing a sense of community. Yet, this openness also raises concerns about the abuse of such platforms, e.g., using models to disseminate deceptive deepfakes or infringe upon copyrights. To explore this, we conduct the first comprehensive empirical study of an AIGC social platform, focusing on its use for generating abusive content. As an exemplar, we construct a comprehensive dataset covering Civitai, the largest available AIGC social platform. Based on this dataset of 87K models and 2M images, we explore the characteristics of content and discuss strategies for moderation to better govern these platforms.