Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review

Social media data have been widely used in natural sciences and social the past 5 years, benefiting from rapid development of deep learning frameworks Web 2.0. Its advantages gradually emerged urban design, planning, landscape architecture sustainable tourism, other disciplines. This study aims to obtain an overview design research through literature reviews bibliometric visualization as a comprehensive review article. The dataset consists 1220 articles works SSCI, SCIE, A&HCI, based on Science core collection, respectively. progress main directions location-based media, text mining, image vision are introduced. Moreover, we introduce Citespace, computer-network-based visualization, discuss timeline trends, hot burst keywords, with high co-citation scores Citespace. Citespace tool facilitates is outline future trends research. shows that framework has great potential for emotional analysis, classification, object detection, segmentation, expression classification data. intersection text, images, metadata provides attractive opportunities well.