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.
Authors
- John Braidwood
- Kunal Gupta (ORCID: https://orcid.org/0000-0002-6939-2335)
- Li Yuan (ORCID: https://orcid.org/0000-0002-2120-5588)
Institutions
- University of Alabama (US)
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