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Tracking Protests Using Geotagged Flickr Photographs.

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Analyzing protest data from Flickr reveals a strong correlation between "protest"-tagged photos and real-world demonstrations. This study highlights the potential of user-generated photo content for tracking global human behavior and social movements.

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Area of Science:

  • Social Sciences
  • Computational Social Science
  • Data Science

Background:

  • Recent years have seen widespread protests globally, often coordinated and reported via social media.
  • The increasing use of social media platforms presents new opportunities for monitoring social and political events.

Purpose of the Study:

  • To investigate the feasibility of identifying protest outbreaks using quantitative analysis of activity on the photo-sharing platform Flickr.
  • To explore the potential of user-generated online content as a source for real-world human behavior measurement.

Main Methods:

  • Analysis of 25 million photos uploaded to Flickr in 2013 across 244 countries and regions.
  • Determination of the weekly proportion of photographs tagged with "protest" in 34 languages for each country/region.
  • Correlation analysis between Flickr "protest" tags and reported protest data from The Guardian newspaper.

Main Results:

  • A higher proportion of "protest"-tagged photographs on Flickr corresponded with an increased number of reported protests.
  • The study found a significant correlation between online photo-sharing activity and real-world protest events.
  • Geospatial and temporal patterns of protest tags on Flickr align with documented protest occurrences.

Conclusions:

  • User-generated photographs on platforms like Flickr can serve as a valuable, low-cost, and rapid data source for monitoring global human behavior.
  • The quantitative analysis of geotagged and keyword-tagged photos offers a novel approach to understanding social and political unrest.
  • Online photo-sharing data provides a scalable method for near real-time detection and measurement of collective human action.