The expansion of the scope of residents’ leisure and recreational activities and the increase in the number of spatial types, as well as the transition of spatial vitality research to shift from qualitative to quantitative, have generated research demands for investigating the vitality of various recreation spaces and their infl uencing factors based on the social sensing of geographic big data. This paper uses the method of meta-analysis and systematic review to construct a social sensing analysis framework for the study of open space vitality, summarize the research theories, identifi cation methods and analysis models of the social sensing of open space vitality, and analyze the diff erences in the infl uencing factors of diff erent types of open space vitality. The results show that: (1) the vitality identifi cation method has formed a composite system integrating direct observation, indirect correlation and virtual-real interaction. (2) The correlation analysis model develops from the basic to the complex mechanism model, revealing the nonlinear eff ect of environmental factors on vitality and spatial heterogeneity. (3) Spatial vitality is infl uenced by fi ve core factors: spatial form, accessibility, function, facilities and landscape, and the mechanism of its action diff ers signifi cantly between humanistic and ecological spatial types. (4) Future research needs to strengthen the characterization of recreational preferences and coverage of vulnerable groups in identifi cation, deepen the perspective of “virtual-real interaction” in theory, and pay attention to the eff ect of multifactor combinations and dynamic perception in analysis, so as to support the human-oriented high-quality recreational space planning.