Online Images Amplify Gender Bias, Study Finds
New research reveals that gender stereotypes are more prevalent and impactful in online images than in text, with long-lasting effects on perceptions.
- Berkeley Haas research published in Nature shows that gender stereotypes are more extreme in Google Images than in Google News text.
- The study found that gender bias in images is over four times stronger than in text and has a more potent psychological impact.
- Participants who viewed gender-biased images demonstrated significantly stronger biases even three days later, compared to those who read gender-biased text.
- The research introduces novel techniques to compare bias in images versus text and to investigate its psychological impact.
- The findings suggest a need for more serious consideration of embedded bias in online images and open doors to further research on gender-age bias and other demographics.
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