Hateful Meme

Hateful memes, combining images and text to spread harmful ideologies, are a growing concern, prompting research focused on automated detection and understanding. Current research employs multimodal models, often leveraging transformer-based architectures and contrastive learning, to analyze the interplay between visual and textual elements within memes, aiming for improved accuracy and explainability. This work is crucial for mitigating the spread of online hate speech and informing the development of effective content moderation strategies across various social media platforms and languages. The field is actively exploring techniques to improve cross-domain generalization and address the challenges posed by evolving meme formats and subtle forms of hate.