Gender bias is more exaggerated in online images than in text

被引：0

作者：

Hofstra, Bas ^{[1
]}

Mulders, Anne Maaike ^{[1
]}

机构：

[1] Radboud Univ Nijmegen, Dept Sociol, NL-6525 GD Nijmegen, Netherlands

来源：

NATURE | 2024年 / 626卷 / 8001期

关键词：

Sociology; Information technology;

D O I：

10.1038/d41586-024-00291-6

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A big-data analysis shows that men are starkly over-represented in online images, and that gender bias is stronger in images compared with text. Such images could influence enduring gender biases in our offline lives. Biased images on the Internet could influence beliefs about gender.

引用

页码：960 / 961

页数：2