2016/03/15 by Haewoon Kwak, Kwak, Haewoon, Jisun An +1
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #cs.CV #cs.CY #cs.IR
paper · pdf · doi:10.48550/arxiv.1603.04531
Presented in the first workshop on NEws and publiC Opinion (NECO'16, www.neco.io, colocated with ICWSM'16), Cologne, Germany, 2016
arxiv created 2016/03/24 · arxiv updated 2016/03/25
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.