Sociology

Online images amplify gender bias

D. Guilbeault, S. Delecourt, et al.

This study by Douglas Guilbeault, Solène Delecourt, Tasker Hull, Bhargav Srinivasa Desikan, Mark Chu, and Ethan Nadler explores how online images contribute to the spread of gender bias. With a comprehensive analysis of over one million images, the findings reveal a troubling trend: gender bias is much more pronounced in visual media than in text. This crucial research highlights the urgent need to confront the societal impact of visual communication.