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Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Photos Using GDELT and Deep Learning-based Vision APIs

Authors
  • Kwak, Haewoon
  • An, Jisun
Type
Preprint
Publication Date
Mar 24, 2016
Submission Date
Mar 14, 2016
Identifiers
arXiv ID: 1603.04531
Source
arXiv
License
Yellow
External links

Abstract

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.

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