APS

29th APS Annual Convention · 2017

Detecting Social Content in News Images of Politically Polarizing Events: A Machine Learning Approach

Boston, MA · May 2017

Poster Session · Methodology

  • Julia Bottesini
    Columbia University
  • Travis Riddle
    Columbia University
  • Kate Turetsky
    Columbia University
  • Valerie Purdie-Vaughns
    Columbia University

Abstract

Online images are a rich but complex record of social behavior. Using machine learning tools, we examined the content of over 23,000 images published in more than 50 news sources during the aftermath of a high-profile police shooting. Analyses indicate reliable image classification and differences in reporting among sources.

Media

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