Projects

Hateful Meme Detection

The rise of social media has made automated content moderation increasingly necessary — yet most techniques operate on a single modality and struggle when subtlety arises from the interplay between image and text. This project explores novel unimodal self-supervised approaches and studies their extension to a fully multimodal setting, achieving accuracy that matches fully supervised multimodally fine-tuned baselines.