China’s web novel platforms embraced AI. Now they are fighting it
Summary
China's influential web novel platforms, including ByteDance's Tomato Novel and Tencent's China Literature, initially encouraged AI tools to boost author productivity. For instance, Gordon Sheng used DeepSeek and an AI writing tool to generate a story on Tomato Novel, achieving over 5,500 reads in 10 days. China Literature launched an AI tool in 2023 for plot expansion and published over 17,000 AI-translated stories on WebNovel, while Tomato Novel introduced an "author's assistant" in 2024. Developer Junxian Ma also created InkOS, an AI agent-powered fiction system downloaded by over 50,000 users. However, the rapid proliferation of AI-generated content has led to reader dissatisfaction over quality issues and author concerns regarding copyright infringement and plagiarism. Consequently, platforms are now implementing restrictions; Jinjiang's founder, Huang Yanming, advised limited AI use in a 2025 statement, and Tomato Novel rejected over 104,000 "low-quality" submissions in June, capping daily word counts.
Key takeaway
For AI Product Managers developing content generation tools, you must prioritize quality control and clear AI disclosure. Unchecked AI proliferation risks alienating readers and authors, as seen with web novel platforms now rejecting "low-quality" submissions. Implement robust detection mechanisms and user opt-out options for AI training data. Your strategy should balance productivity gains with maintaining content authenticity and respecting creator rights to ensure long-term platform viability.
Key insights
AI tools enhance content creation but necessitate platform regulation to balance productivity with authenticity and quality.
Principles
- AI democratizes storytelling for aspiring authors.
- Unregulated AI content risks reader dissatisfaction.
- Free platforms show higher AI tolerance than subscription models.
Method
An AI agent system like InkOS employs an architect for outlines, a writer for chapters, and an auditor for errors, with human intervention.
In practice
- Utilize AI for initial story outlining and background research.
- Implement AI agents for structured content generation.
- Human oversight is crucial to refine AI output and correct errors.
Topics
- Web Novels
- AI Content Generation
- Digital Publishing
- Content Platforms
- AI Ethics
- Copyright Infringement
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Editorial summary, takeaway, and curation by AIssential. Original article published by Rest of World -.