The widespread use of images in our digital world has not only transformed the way we consume information, but it has also amplified gender bias in various aspects of society. A recent study conducted by researchers has shed light on the prevalence of gender bias in online images, compared to text, and the implications this has on societal perceptions and beliefs.
The study, which analyzed over one million images from platforms such as Google, Wikipedia, and IMDb, found that gender bias was consistently more prevalent in images than in text when it came to categories that were gender-typed, such as nurse or banker. This means that the images associated with these categories tended to reinforce traditional gender norms and stereotypes, with women being significantly underrepresented compared to men. This disparity in representation was found to be even worse in images than in text, despite efforts to promote gender equality in online content.
