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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.07814 |
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| _version_ | 1866914390027010048 |
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| author | Gao, Lan Ahmed, Abani Chen, Oscar Reyl, Margaux Cheema, Zayna Feamster, Nick Tan, Chenhao Thomas, Kurt Chetty, Marshini |
| author_facet | Gao, Lan Ahmed, Abani Chen, Oscar Reyl, Margaux Cheema, Zayna Feamster, Nick Tan, Chenhao Thomas, Kurt Chetty, Marshini |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07814 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Governance of AI-Generated Content: A Case Study on Social Media Platforms Gao, Lan Ahmed, Abani Chen, Oscar Reyl, Margaux Cheema, Zayna Feamster, Nick Tan, Chenhao Thomas, Kurt Chetty, Marshini Human-Computer Interaction Computers and Society 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. |
| title | Governance of AI-Generated Content: A Case Study on Social Media Platforms |
| topic | Human-Computer Interaction Computers and Society |
| url | https://arxiv.org/abs/2603.07814 |