The gendered lens of AI: examining news imagery across
digital spaces

The gendered lens of AI: examining news imagery across
digital spaces

artificial intelligence, media logic, gender, visual framing, digital space.

This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases
and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media, technology news websites, social media,
knowledge-sharing platforms, and other digital spaces. Our findings revealed the prevalence of male faces and the consistent underrepresentation of
women across digital spaces. We also found distinct patterns in the visual framing of men and women, with women often portrayed as being
disempowered and adhering to traditional gender stereotypes. Furthermore, our cluster analysis demonstrated consistent patterns of gender
representation across various visual themes, reinforcing the pervasive nature of gender biases in AI news imagery. In conclusion, our study
underscores the need for conscious efforts to promote a more balanced and inclusive portrayal of gender in AI news reporting, calling for a broad
societal effort toward advancing gender equality and diversity.

Yibei Chen1

, Yujia Zhai2

, Shaojing Sun3,*

https://doi.org/10.1093/jcmc/zmad047

by Oxford University Press on behalf of International Communication Association.

3 November 2023

PERI IRAWAN

PDF

ENGLISH

TEXT