People’s Voice

Generative AI (GenAI) has grown in popularity in recent years, with integration within many service areas, including GLAM institutions (Galleries, Libraries, Archives, and Museums). As implementation continues, discussions across social media have reflected both enthusiasm and concern of GenAI use. This study investigates the public discussion and sentiment surrounding GenAI within GLAM contexts on the social media platform X (formerly Twitter). We collected posts related to GenAI and GLAM topics from X between November 1, 2022, and December 31, 2024, and conducted topic modeling and sentiment analysis to explore the nature of these discussions. Our findings reveal distinct themes across GLAM institutions and indicate that positive sentiment was most prevalent within museums and galleries and negative sentiment was more frequently linked to archives. While preliminary, this study highlights both promises and challenges of GenAI use in GLAM institutions and highlights the need for further research to support thoughtful, intentional implementation.

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Publication Details

Journal
Proceedings of the ALISE Annual Conference
Published
2025-10-03
DOI
https://doi.org/10.21900/j.alise.2025.2042
Primary Topic
Diverse Musicological Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

People’s Voice

John Braidwood, Kunal Gupta, Li Yuan
Proceedings of the ALISE Annual Conference
Diverse Musicological Studies
article

People’s Voice

John Braidwood, Kunal Gupta, Li Yuan
article en

Abstract

Generative AI (GenAI) has grown in popularity in recent years, with integration within many service areas, including GLAM institutions (Galleries, Libraries, Archives, and Museums). As implementation continues, discussions across social media have reflected both enthusiasm and concern of GenAI use. This study investigates the public discussion and sentiment surrounding GenAI within GLAM contexts on the social media platform X (formerly Twitter). We collected posts related to GenAI and GLAM topics from X between November 1, 2022, and December 31, 2024, and conducted topic modeling and sentiment analysis to explore the nature of these discussions. Our findings reveal distinct themes across GLAM institutions and indicate that positive sentiment was most prevalent within museums and galleries and negative sentiment was more frequently linked to archives. While preliminary, this study highlights both promises and challenges of GenAI use in GLAM institutions and highlights the need for further research to support thoughtful, intentional implementation.

Proceedings of the ALISE Annual Conference
University of Alabama (US)
Openalex Percentile: Top 72%
Diverse Musicological Studies
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