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

Vol. 10 No. 2 (2016): The Workshops of the Tenth International AAAI Conference on Web and Social Media

Volume

Vol. 10 No. 2 (2016): The Workshops of the Tenth International AAAI Conference on Web and Social Media

News and Public Opinion

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.

10.1609/icwsm.v10i2.14840