Phototrails is a research project that uses experimental media visualization techniques for exploring visual patterns, dynamics and structures of planetry-scale user-generated shared photos. Using a sample of 2.3 million Instagram photos from 13 cities around the world, we show how temporal changes in number of shared photos, their locations, and visual characteristics can uncover social, cultural and political insights about people’s activity around the world.
The project is part of the emerging research field of Cultural Analytics which uses computational methods for the analysis of massive cultural datasets and flows.
Phototrails explores the world’s photos on multiple spatial and temporal levels, moving between the planetary-scale cultural and social patterns to the micro level of particular places and times.
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