An Exploratory Study on Issues Related to chatGPT and Generative AI through News Big Data Analysis

• Published in: International Journal of Advanced Culture Technology(IJACT) Vol. 11; no. 4; pp. 378 - 384
• Main Author: Jee Young Lee
• Format: Journal Article
• Language: English
• Published: 국제문화기술진흥원 31.12.2023
• Subjects: 과학기술학; LDA; Generative AI; ChatGPT; News Big Data Analysis; Topic Modeling
• ISSN: 2288-7202; 2288-7318
• DOI: 10.17703/IJACT.2023.11.4.378

In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.