Adapting cultural heritage narratives: GPT’s potential in tailoring heritage content for diverse audiences

This paper explores the potential of ChatGPT, to adapt cultural heritage narratives for diverse audiences. By analyzing stories from the rurAllure project, we assessed ChatGPT's ability to evaluate and modify content for various demographics, including cultural background, educational level, age, and disabilities. Our findings suggest that while ChatGPT can create an evaluative framework and make adaptations that seem rational on the surface, the process is not without errors and requires careful oversight. The study highlights the promise of LLMs in enhancing personalized storytelling in cultural heritage contexts but underscores the need for further research involving real content creators and audiences to fully understand their effectiveness and utility.

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Publication Details

Journal
ePrints Soton (University of Southampton)
Published
2024-10-13
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Adapting cultural heritage narratives: GPT’s potential in tailoring heritage content for diverse audiences

ePrints Soton (University of Southampton)
Artificial Intelligence in Healthcare and Education
article

Adapting cultural heritage narratives: GPT’s potential in tailoring heritage content for diverse audiences

article en

Abstract

This paper explores the potential of ChatGPT, to adapt cultural heritage narratives for diverse audiences. By analyzing stories from the rurAllure project, we assessed ChatGPT's ability to evaluate and modify content for various demographics, including cultural background, educational level, age, and disabilities. Our findings suggest that while ChatGPT can create an evaluative framework and make adaptations that seem rational on the surface, the process is not without errors and requires careful oversight. The study highlights the promise of LLMs in enhancing personalized storytelling in cultural heritage contexts but underscores the need for further research involving real content creators and audiences to fully understand their effectiveness and utility.

ePrints Soton (University of Southampton)
University of Nottingham (GB), Norwegian University of Science and Technology (NO)
University of Patras, Norges Teknisk-Naturvitenskapelige Universitet, University of Reading
Sustainable cities and communities
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
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