研究发现生成式搜索会放大热门创作者的曝光，加剧信息垄断。
When Attention Becomes Exposure in Generative Search
- 分析44家Web3企业，发现创作者社区具有持续性。
- 热门声音在搜索引用中获得更高曝光，且粉丝多的企业排名更靠前。
- 生成式搜索存在对现有头部创作者的偏见，不利于观点多样性。
生成式搜索引擎通过合成答案和引用取代传统排序列表，重塑信息获取方式。随着Web3平台发展，激励创作者参与共同叙事已成为企业提升可见性和构建社群的重要手段。然而，生成式搜索中的引用曝光是否受外部注意力市场影响尚不明确。本研究审计了44家Web3企业，发现：第一，各企业创作者社区具有时间持续性；第二，企业特定查询显示，更受欢迎的声音系统性地获得更多引用曝光；第三，拥有更大粉丝基础或更集中创作者核心的企业，其曝光排名更高。这些结果表明，生成式搜索引擎的引用存在对已有知名声音的暴露偏差，可能固化既得利益者地位，削弱观点多样性。
原文摘要 · Abstract (English)
Generative search engines are reshaping information access by replacing traditional ranked lists with synthesized answers and references. In parallel, with the growth of Web3 platforms, incentive-driven creator ecosystems have become an essential part of how enterprises build visibility and community by rewarding creators for contributing to shared narratives. However, the extent to which exposure in generative search engine citations is shaped by external attention markets remains uncertain. In this study, we audit the exposure for 44 Web3 enterprises. First, we show that the creator community around each enterprise is persistent over time. Second, enterprise-specific queries reveal that more popular voices systematically receive greater citation exposure than others. Third, we find that larger follower bases and enterprises with more concentrated creator cores are associated with higher-ranked exposure. Together, these results show that generative search engine citations exhibit exposure bias toward already prominent voices, which risks entrenching incumbents and narrowing viewpoint diversity.
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