What question did this study set out to answer?

The research aims to examine gender bias in AI-generated images across different prompts and platforms.

April 19, 2026New Media & SocietyOpen Access

Gender bias in text-to-image generative artificial intelligence: Neglect and stereotypical presentations across three popular platforms

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Analysis reveals gender bias in image generation, indicating the need for intervention in AI systems.

The research aims to examine gender bias in AI-generated images across different prompts and platforms.
Generated 1344 images using DALL·E, Midjourney, and Stable Diffusion.
Conducted a preregistered content analysis to evaluate representations of gender.
Analyzed variations in facial prominence and stereotypical features under different prompts.
Women were depicted less frequently than men when the prompt was 'competent person.'
Higher facial prominence was noted for men compared to women.
Women showed more stereotypical traits, such as higher intensity smiles and head canting, especially in AI-generated images.

Weinmann et al. (2026) studied this question.

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