Misogynous Meme

Misogynous memes, combining text and images to spread sexist content online, are a growing concern, prompting research into automated detection and classification systems. Current research focuses on developing multimodal machine learning models, often employing ensemble learning and early fusion architectures that integrate natural language processing and computer vision techniques to analyze both textual and visual components of memes. This work aims to improve the identification of misogynous content and its various subtypes (e.g., shaming, objectification), ultimately contributing to safer online environments and informing strategies to combat online harassment.