Abstract: [Purpose/Significance] To analyze the effectiveness of using ChatGPT and its plugins to empower information analysis, this paper explores the integration and development of information analysis and the new-generation AI technologies, providing references for the innovation and development of information analysis technologies and methods. [Design/Methodology] With the work domains of information analysis as the reference framework, the study designed eight experimental tasks in three categories, namely scientific information analysis, patent information analysis, and social information analysis. These tasks were completed by ChatGPT combined with plugins according to the prompts. Meanwhile, the completion effectiveness was comparatively evaluated using the research methods of information science. [Findings/Conclusion] ChatGPT can automatically process and analyze large amounts of data to improve the efficiency of information analysis, but it is still insufficient for highly specialized or complex analysis tasks. ChatGPT combined with plugins has distinct advantages in complex information analysis tasks, being able to handle tasks that ChatGPT itself can't accomplish, or cannot accomplish perfectly. [Originality/Value] This study comprehensively examines the application effectiveness of combining ChatGPT with its plugins for information analysis, thereby providing insights for the future development direction of the information analysis field.

Keywords: ChatGPT, Generative AI, Information analysis, Plugins, Experimental task