Revealing the Hidden Patterns of News Photos: Analysis of Millions of   News Photos Using GDELT and Deep Learning-based Vision APIs
  In this work, we analyze more than two million news photos published in January 2016. We demonstrate i) which objects appear the most in news photos; ii) what the sentiments of news photos are; iii) whether the sentiment of news photos is aligned with the tone of the text; iv) how gender is treated; and v) how differently political candidates are portrayed. To our best knowledge, this is the first large-scale study of news photo contents using deep learning-based vision APIs. 
Haewoon Kwak and Jisun An
cs.CY cs.CV cs.IR