Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
摘要
The advent of generative AI (GenAI) technology produces transformative impact on the content creation landscape, offering alternative approaches to produce diverse, high-quality content across media, thereby reshaping online ecosystems but also raising concerns about market over-saturation and the potential marginalization of human creativity. Our work introduces a competition model generalized from the Tullock contest to analyze the tension between human creators and GenAI. Our theory and simulations suggest that despite challenges, a stable equilibrium between human and AI-generated content is possible. Our work contributes to understanding the competitive dynamics in the content creation industry, offering insights into the future interplay between human creativity and technological advancements in GenAI.
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引用它的顶会 Paper8
- Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation PlatformsFan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie 等NeurIPS 2024 · 被引用 19 次
- Strategic Content Creation with GenAI: To Share or Not to Share?Gur Keinan, Omer Ben-PoratWWW 2026 · 被引用 5 次
- User Welfare Optimization in Recommender Systems with Competing Content CreatorsFan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li 等KDD 2024 · 被引用 5 次
- Braess's Paradox of Generative AIBoaz Taitler, Omer Ben-PoratAAAI 2025 · 被引用 2 次
- Market Games for Generative Models: Equilibria, Welfare, and Strategic EntryXiukun Wei, Min Shi, Xueru ZhangICLR 2026 · 被引用 2 次
它引用的顶会 Paper13
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- On the Stability of Iterative Retraining of Generative Models on their own DataQuentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong 等ICLR 2024 · 被引用 93 次
- Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching ApproachMartin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky 等ICML 2020 · 被引用 70 次
- Supply-Side Equilibria in Recommender SystemsMeena Jagadeesan, Nikhil Garg, Jacob SteinhardtNeurIPS 2023 · 被引用 53 次
- How Bad is Top-K Recommendation under Competing Content Creators?Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang 等ICML 2023 · 被引用 39 次
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