Women Systematically Shown As Younger Online (And Why That's Dangerous) скачать в хорошем качестве

Women Systematically Shown As Younger Online (And Why That's Dangerous)

A new Nature (October 2025) study shows that across ~1.4M online images/videos, women are depicted as younger than men across occupations and roles, although there's no corresponding age gap in US workforce data. The bias is strongest in high-status jobs and gets amplified by mainstream algorithms: Google Image results shift people’s beliefs and hiring choices, and LLMs (ChatGPT) assume female applicants are younger/less experienced when generating and rating resumes. In this video, we unpack what this means for everyday users, job seekers, leaders, and creators and most importantly, what to do about it. PAPER: Guilbeault, Delecourt, & Desikan. (2025). Age and gender distortion in online media and large language models. Nature. https://doi.org/10.1038/s41586-025-09... 00:00 How the Media Represents Women is Distorted 00:12 The Unfair Gendered Ageism 01:47 Women Consistently Depicted As Younger and Inexperienced 03:44 Insidious Online Tools Amplify the Unfounded Bias 06:35 Check Your Own Bias Graphical assets: www.freepik.com