<p>The dissemination of green consumption information is essential for promoting sustainable behaviors and guiding environmental policymaking. However, the underlying dynamics of its dissemination across social networks and geographic regions remain insufficiently explored. In this study, the spatiotemporal evolution of green consumption information dissemination on social media was analyzed, focusing on six key aspects: clothing, food, housing, transportation, products, and tourism. A comprehensive analytical framework was constructed by integrating network and spatial perspectives. Social network analysis and exploratory spatial data analysis were applied to data collected from Sina Weibo, China’s leading social media platform, enabling an investigation into the multifaceted nature of green information dissemination. The results reveal that green consumption social networks exhibit clustering and tightening trends, while maintaining random network properties. Key nodes, particularly news media and environmental protection accounts, act as influential centers. Spatially, the network displays small-world characteristics, with Beijing, Shanghai, Guangdong, Jiangsu, and Zhejiang serving as critical information hubs. Additionally, geographical imbalances in information dissemination are evident, with high-value clusters concentrated in economically developed regions. Based on these findings, three targeted strategies are proposed: a network optimization-oriented guidance strategy to enhance dissemination efficiency and structural connectivity; a community integration-oriented guidance strategy to activate grassroots engagement and diversify participation; and a regional linkage-oriented guidance strategy to reduce spatial imbalances and promote cross-regional synergy. This research provides valuable insights for policymakers and stakeholders in promoting green consumption practices and environmental awareness across diverse areas.</p>