Governance of AI-Generated Content: A Case Study on Social Media Platforms
This research identifies gaps in current AI-generated content governance for social media platforms, which is important for policymakers and platform stakeholders aiming to encourage responsible AI use.
This study analyzed the governance frameworks for AI-generated content across 40 popular social media platforms. It found that just over two-thirds of platforms explicitly describe governance, primarily focusing on content moderation and disclosure, while fewer platforms address issues like ownership and monetization.
Online platforms are seeing increasing amounts of AI-generated content -- text and other forms of media that are made or co-created with generative AI. This trend suggests platforms may need to establish governance frameworks, including policies and enforcement strategies for how users create, post, share, and engage with such content to encourage responsible use. We investigate the governance of AI-generated content across 40 popular social media platforms. Just over two-thirds explicitly describe governance of AI-generated content spanning six themes. Most platforms focus on moderating AI-generated content that violates established content rules and discloses AI-generated content. Fewer platforms -- those that are focused on creativity and knowledge-sharing -- address other issues such as ownership and monetization. Based on these findings, we suggest stakeholders and policymakers develop more direct, comprehensive, and forward-looking AI-generated content governance, as well as tools and education for users about the use of such content.