People's Voice: Exploring Discussion Themes on Generative <scp>AI</scp> and Libraries on X

ABSTRACT The launch of ChatGPT and other Generative Artificial Intelligence (GenAI) models has significantly influenced people's perceptions of AI, making its impact a widely discussed topic in various areas. In Library and Information Science (LIS), researchers experience the opportunities and challenges presented by GenAI, such as using the rich text from books and digital collections as training data for GenAI and enabling quick summarization and reference consultation for patrons. Meanwhile, concerns have arisen about the generation of fake information and nonexistent text by GenAI and their potential effects on users. This project explores the themes in public discussions regarding the impact of GenAI on libraries. To explore public opinions about the impact of GenAI in libraries, we collected over 50,000 posts from X (formerly Twitter) between November 1, 2022, and May 6, 2024. We manually sampled 1,000 posts focusing on GenAI in the context of libraries. We conducted content analysis to identify the key themes and relationships among these themes. This poster presents our initial findings on different themes and highlights the trends in public opinion. Our analysis provides a curated dataset for training APIs for future investigation.

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Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2024-10-01
DOI
https://doi.org/10.1002/pra2.1164
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

People's Voice: Exploring Discussion Themes on Generative AI and Libraries on X

Yuan Li, Ainsley Sprayberry
Proceedings of the Association for Information Science and Technology
Ethics and Social Impacts of AI
article

People's Voice: Exploring Discussion Themes on Generative AI and Libraries on X

Yuan Li, Ainsley Sprayberry
article en

Abstract

ABSTRACT The launch of ChatGPT and other Generative Artificial Intelligence (GenAI) models has significantly influenced people's perceptions of AI, making its impact a widely discussed topic in various areas. In Library and Information Science (LIS), researchers experience the opportunities and challenges presented by GenAI, such as using the rich text from books and digital collections as training data for GenAI and enabling quick summarization and reference consultation for patrons. Meanwhile, concerns have arisen about the generation of fake information and nonexistent text by GenAI and their potential effects on users. This project explores the themes in public discussions regarding the impact of GenAI on libraries. To explore public opinions about the impact of GenAI in libraries, we collected over 50,000 posts from X (formerly Twitter) between November 1, 2022, and May 6, 2024. We manually sampled 1,000 posts focusing on GenAI in the context of libraries. We conducted content analysis to identify the key themes and relationships among these themes. This poster presents our initial findings on different themes and highlights the trends in public opinion. Our analysis provides a curated dataset for training APIs for future investigation.

Proceedings of the Association for Information Science and TechnologyVol. 61(1)
University of Alabama (US)
Openalex Percentile: Top 78%
Ethics and Social Impacts of AI
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