Visualizing Instagram: Tracing Cultural Visual Rhythms

TLDR

The ubiquity of smartphones has made photo taking and instant sharing effortless, creating a vast global stream of visual content. The study aims to develop methods for visualizing and analyzing large‑scale Instagram imagery to uncover hidden socio‑cultural patterns and insights. The authors applied Cultural Analytics visualization techniques to a dataset of about 550,000 Instagram images. Comparative analysis of NYC and Tokyo images revealed distinct local color usage, production rates, and hue intensities, forming a unique “Visual Rhythm” framework for studying location‑based visual flows.

Abstract

Picture-taking has never been easier. We now use our phones to snap photos and instantly share them with friends, family and strangers all around the world. Consequently, we seek ways to visualize, analyze and discover concealed socio-cultural characteristics and trends in this ever-growing flow of visual information. How do we then trace global and local patterns from the analysis of visual planetary–scale data? What types of insights can we draw from the study of these massive visual materials? In this study we use Cultural Analytics visualization techniques for the study of approximately 550,000 images taken by users of the location-based social photo sharing application Instagram. By analyzing images from New York City and Tokyo, we offer a comparative visualization research that indicates differences in local color usage, cultural production rate, and varied hue’s intensities— all form a unique, local, ‘Visual Rhythm’: a framework for the analysis of location-based visual information flows.