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Regular version of the site

Book chapter

Semantic and Geospatial Mapping of Instagram Images in Saint-Petersburg

P. 110-113.
Rykov Y., Nagornyy O. S., Koltsova O., Natta H., Kremenets A., Manovich L., Cerrone D., Crockett D.

The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.