Machine Learning for Addressing Eating Disorders on Social Media

This research uses machine learning to examine eating disorders by analysing interactions on social media. It first identifies different types of users, such as those affected or offering support. It then estimates the severity of their situations by examining what they post and how they engage online. This work aims to improve the early detection of eating disorders and guide the development of digital tools for awareness and support, contributing to better mental health in society.