[Purpose/significance] Researching the adoption of government open data user information is conducive to enhancing the readability and accessibility of data, triggering users to focus their attention, and providing theoretical references for in-depth data value mining. [Method/process] Using the SOR (Stimulus-Organism-Response) frame⁃work as the analytical structure, and integrating the theories of narrative transportation, perceived value, trust, and at⁃tention-based view, this study analyzes narrative elements such as narrative content, structure, and data presentation methods, explores the moderating effect of attention allocation concentration, constructs a theoretical hypothesis model of factors influencing the willingness of government open data user information adoption, and empirically verifies the model through a survey of 572 government open data users. [Result/conclusion] The study shows that the narrative content, structure, and presentation methods of government open data positively affect cognitive trust and perceived val⁃ue, and perceived value positively affects cognitive trust. Both cognitive trust and perceived value positively affect user
information adoption willingness and play a mediating role in the process of influencing adoption willingness through the stimulus dimension. Attention allocation concentration positively moderates the impact of cognitive trust and per⁃ceived value on user information adoption willingness.