How is AIGC shaping the world: an analysis of bibliometrics

Introduction. While artificial intelligence-generated content (AIGC) research is expanding, it largely focuses on specific domains, with limited analysis of its global impact across countries and disciplines. This paper seeks to fill that gap, offering insights into regional AIGC development for policymakers, investors, and researchers. Data and Methods. Using bibliometric methods, this study analyses 11,638 AIGC-related publications from the period between ChatGPT’s release on November 30, 2022, and July 31, 2024. A set of indicators is applied to assess the research performance globally, across continents, and in top-performing countries/regions. Analysis and Results. Findings show global engagement in AIGC research, focusing on AI technological advancements, healthcare, education, and ethics. However, there is a notable lack of integration between AIGC and basic disciplines. AIGC research performance mirrors global economic development patterns, reflecting significant imbalances. Conclusions. The study emphasizes the unequal global development of AIGC, calling for enhanced international cooperation, optimized resource allocation, and tailored strategies to close technological gaps.