Women's faces in Time Magazine throughout history
In a paper published in Journal of Cultural Analytics, an interdisciplinary group of researchers used machine learning to extract 327,322 faces from an archive of Time Magazine containing 3,389 issues dating from 1923 to 2014. The gender of each extracted face was computationally classified. Additionally, researchers chose a sample of articles for close reading in order examine the socio-political and cultural environment of select time periods. Titled the "Faces of Time" project, findings reveal that the proportion of female faces contained within this archive varied over time. The percentage of female faces between the 1940s and 1990s correlates with varying attitudes towards women in both the larger historical context, as well as within the textual content of the magazine.