Literary Hypertext, AI, and Google’s New Web: An Aesthetics Discussion

At the end of 2024, Google released a significant update to the guidelines for their quality ranking. Positioning is now based on "content appropriateness" defined by four main user intents: informational, transactional, navigation, localisation. The language of these guidelines at times feels like a nostalgic call to a utopian web not realised: in its repudiation of SEO tactics, its emphasis on information and knowledge creation, its focus on expertise and original content. We offer a speculative exploration of what a future web might look like, with an eye to particular forms of hypertext. This study afforded the opportunity to explore Google’s AI <i>Gemini</i>. Used as a proxy for the new AI engines implementing these ranking guidelines, we evaluate its ability to understand hypertext narrative. The paper provides two fully developed case studies, as well as a novel methodology to evaluate the AI’s understanding of a more creative future web.

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Publication Details

Published
2025-08-26
DOI
https://doi.org/10.1145/3720553.3746678
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Literary Hypertext, AI, and Google’s New Web: An Aesthetics Discussion

Sam Brooker, Lucia Lupi, Mariusz Pisarski, Alessio Antonini
Digital Games and Media
article

Literary Hypertext, AI, and Google’s New Web: An Aesthetics Discussion

Sam Brooker, Lucia Lupi, Mariusz Pisarski, Alessio Antonini
article en

Abstract

At the end of 2024, Google released a significant update to the guidelines for their quality ranking. Positioning is now based on "content appropriateness" defined by four main user intents: informational, transactional, navigation, localisation. The language of these guidelines at times feels like a nostalgic call to a utopian web not realised: in its repudiation of SEO tactics, its emphasis on information and knowledge creation, its focus on expertise and original content. We offer a speculative exploration of what a future web might look like, with an eye to particular forms of hypertext. This study afforded the opportunity to explore Google’s AI <i>Gemini</i>. Used as a proxy for the new AI engines implementing these ranking guidelines, we evaluate its ability to understand hypertext narrative. The paper provides two fully developed case studies, as well as a novel methodology to evaluate the AI’s understanding of a more creative future web.

Rzeszów University of Technology (PL), The Open University (GB), University of Information Technology and Management in Rzeszow (PL), Oldham Council (GB), Adam Mickiewicz University in Poznań (PL), University of the Arts London (GB), University of Rzeszów (PL)
Openalex Percentile: Top 70%
Digital Games and Media
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