AI 中文总结
研究生成式人工智能生态系统中发布者竞争基于归因的曝光问题，引入博弈论模型，研究战略内容创作者学习动态及生态系统稳定性，通过模拟揭示稳定性、发布者与用户福利间相互作用及权衡。
AI 中文摘要
生成式人工智能（GenAI）搜索系统正在改变用户获取信息的方式。与基于排名的搜索系统不同，GenAI搜索系统会根据用户问题生成答案并常附带外部来源。为增加曝光度，内容创作者（发布者）可能会采取策略竞争用户关注。本文引入了一个新兴GenAI生态系统的博弈论模型，研究了战略内容创作者在更好响应动态下的学习动态，通过势博弈概念研究了几种内容选择机制下的生态系统稳定性，进行了大量模拟分析，揭示了稳定性、发布者福利和用户福利之间的相互作用。
英文摘要
Generative AI (GenAI) search systems are transforming how users access information. Unlike ranking-based search systems, where users observe a ranked list of documents, GenAI search systems, given a user's question, generate an answer, often accompanied by external sources (e.g., in the form of citations). Content creators (publishers) seeking to increase exposure might behave strategically and compete with other creators for users' attention. While publishers in ranking-based systems might strategically modify their content to improve its ranking, the incentives in generative systems take on a new form. Publishers may now gain exposure through generated responses and attributions to those responses. We introduce a novel game-theoretic model of the emerging GenAI ecosystem in which publishers compete for attribution-based exposure. We study the learning dynamics of strategic content creators under better-response dynamics. We associate the convergence of learning dynamics to equilibrium with ecosystem stability. Employing the notion of potential games, we study the stability of GenAI ecosystems under several known content selection mechanisms. We demonstrate the instability of mechanisms representing real-world modern systems and characterize a mechanism that induces a stable ecosystem. We conduct extensive simulations to analyze the stability and welfare of GenAI ecosystems under various mechanisms. The simulations support our theoretical findings and reveal an interplay among stability, publisher welfare, and user welfare. In particular, stable mechanisms do not necessarily maximize welfare, demonstrating an important trade-off for platform designers. We then introduce a study illustrating that the proper selection of the GenAI mechanism enables the manifestation of desired trade-offs between publisher welfare and the different sources of user welfare.
