The study examines the impact of online images on gender bias, finding that gender bias is more prevalent and psychologically potent in images than in text. The researchers collected and analyzed over 350,000 images from Google Images and billions of words from Google News, Wikipedia, and IMDb. They found that gender bias is consistently more pronounced in images than in text for both female- and male-typed categories. The underrepresentation of women in images is also more significant than in text, public opinion, and US census data. A preregistered experiment confirmed that searching for images amplifies gender bias in participants' beliefs compared to searching for textual descriptions. The findings highlight the need to address the societal impact of this shift towards visual communication to ensure a fair and inclusive future on the internet.The study examines the impact of online images on gender bias, finding that gender bias is more prevalent and psychologically potent in images than in text. The researchers collected and analyzed over 350,000 images from Google Images and billions of words from Google News, Wikipedia, and IMDb. They found that gender bias is consistently more pronounced in images than in text for both female- and male-typed categories. The underrepresentation of women in images is also more significant than in text, public opinion, and US census data. A preregistered experiment confirmed that searching for images amplifies gender bias in participants' beliefs compared to searching for textual descriptions. The findings highlight the need to address the societal impact of this shift towards visual communication to ensure a fair and inclusive future on the internet.