Age and gender distortion in online media and large language models
This study reveals widespread age- and gender-related distortion across online media (images, videos, text) and large language models (LLMs). It found that women are consistently depicted as younger than men, especially in higher-status roles, and demonstrated how mainstream algorithms amplify these biases, influencing people's beliefs and even AI-driven hiring recommendations. The research combined large-scale data analysis with human experiments and LLM audits to show these biases are pervasive and disconnect from real-world demographics.