When Attention Becomes Exposure in Generative Search

Fuente: arXiv
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Auteurs principaux: Alipour, Shayan, Kargar, Mehdi, Zihayat, Morteza
Format: Preprint
Publié: 2026
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author Alipour, Shayan
Kargar, Mehdi
Zihayat, Morteza
author_facet Alipour, Shayan
Kargar, Mehdi
Zihayat, Morteza
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_01750
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle When Attention Becomes Exposure in Generative Search
Alipour, Shayan
Kargar, Mehdi
Zihayat, Morteza
Information Retrieval
Computers and Society
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.
title When Attention Becomes Exposure in Generative Search
topic Information Retrieval
Computers and Society
url https://arxiv.org/abs/2601.01750