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Generative search engines may erode web content quality, study warns

By PulseAugur Editorial · [1 sources] ·

A new paper models the potential negative impact of generative search engines (GSEs) on the web's content ecosystem. The research suggests that by directly extracting value from web content without directing traffic back to the source, GSEs can lead to a decline in content quality and volume. This erosion could eventually lead to the collapse of the crawlable corpus, especially if GSEs operate with a short-term focus. AI

IMPACT Generative search may undermine the web's content creation ecosystem, potentially impacting future AI training data.

RANK_REASON Academic paper analyzing a potential negative externality of generative AI on the web. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Generative search engines may erode web content quality, study warns

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Academic paper analyzing a potential negative externality of generative AI on the web. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Sylvain Peyronnet ·

    When Search Eats the Web: A Model of Corpus Erosion under Generative Extraction

    Generative search engines (GSEs) answer user queries directly from crawled web content. The capture of value from the corpus without a visit returned to the source (we call this capture extraction) diverts the traffic that finances content production. In response, publishers may …

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