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논문검색

Technology Convergence (TC)

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

원문정보

초록

영어

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.

목차

Abstract
1. Introduction
2. Related Works
2.1 Generative AI and Information Retrieval
2.2 News Big Data Analysis
3. Research Methods
3.1 Data Collection
3.2 Data Analysis Methods
4. Results and Discussion
5. Conclusion
Reference

저자정보

  • Jee Young Lee Assistant Professor, Department of Software, SeoKyeong University, Korea

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