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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