当前互联网开源数据具有海量泛在、结构异构等特征，深刻冲击传统情报搜集模式，有限定向搜集已难以适配新时代需求，亟需从范式转型视角分析其运行逻辑变化，本研究旨在揭示转型路径，为情报工作规范化、智能化建设提供支撑。研究以库恩范式理论为框架，采用规范分析与逻辑推演法，梳理相关特征与范式，剖析开源数据影响，识别困境并提出转型路径。开源数据推动情报搜集实现四重转变，同时针对困境提出可行方案，从四维度推进系统性变革，对提升国家情报搜集能力具有重要价值。
At present, Internet open-source data is characterized by massive ubiquity and heterogeneous structure,
which has profoundly impacted the traditional intelligence collection model. Limited and targeted collection
can hardly meet the needs of the new era, so it is urgent to analyze the changes in its operational logic from the
perspective of paradigm transformation. This study aims to reveal the transformation path and provide support for
the standardized and intelligent construction of intelligence work. Based on Kuhn’s paradigm theory, this study
adopts normative analysis and logical deduction to sort out relevant characteristics and paradigms, analyze the
impact of open-source data, identify dilemmas and propose transformation paths. Open-source data has promoted
four major transformations in intelligence collection. Meanwhile, feasible solutions are proposed for the dilemmas,
and systematic reforms are promoted from four dimensions, which is of great value for improving national
intelligence collection capabilities.
