面向大规模同质化生成式信息集聚的情报感知实现研究

Research on the Implementation of Information Perception Oriented towards Large-Scale Homogeneous Generative Information Aggregation

[目的/意义]技术催化使信息突显规模大、同质化门槛低和生成式工具应用频繁的生产特点,在非限定空间集聚作用推动下有望充当武器化工具,从情报感知出发探讨防患未然手段策略尤为必要。[方法/过程]从信息流量条件、同质化属性、生成式工具根源与集聚演化4个角度对大规模同质化生成式信息集聚现象进行识别,并在此基础上建立有针对性的情报感知流程,将其融合为两步方法设计以实现研究目标。围绕实证结果及其背后原因从现象特点出发探讨情报感知能力持续建设方略。[结果/结论]研究发现方法性能良好,能够实现信息集聚规模、集聚同质化程度、集聚特征与集聚威胁动力学预警方面的情报内容表征,为健全安全感知神经末梢提供支撑。[局限]情报感知结果仅聚焦威胁发现,缺乏对现象成因的重点关注,未来可从理论角度展开深入论证以更全面地反映表象之下的底层机理。

[Purpose/significance]Technological catalysis highlights the production characteristics of large scale,low homog-enization threshold,and frequent use of generative tools in information,which are expected to serve as weaponization tools under the promotion of unrestricted spatial agglomeration.It is particularly necessary to explore preventive measures and strategies from the perspective of information perception.[Method/process]Identify the phenomenon of large-scale homogeneous generative informa-tion aggregation from four perspectives:information flow conditions,homogenization attributes,generative tool roots,and agglom-eration evolution.Based on this,establish a targeted information perception process and integrate it into a two-step method design to achieve research objectives.Exploring the strategy for sustained construction of information perception capabilities based on empirical results and their underlying reasons,starting from the characteristics of phenomena.[Result/conclusion]Research has found that the method has good performance and can achieve the representation of intelligence content in terms of information aggregation scale,aggregation homogenization degree,aggregation characteristics,and aggregation threat dynamics warning,thereby providing sup-port for the institution of security perception nerve endings.[Limitations]The information perception results only focus on threat detection,lacking a focus on the causes of phenomena.In the future,in-depth theoretical analysis can be conducted to more com-prehensively reflect the underlying mechanisms beneath the surface.