Social Media Analytics Research

Youcef led the development of a comprehensive social media analytics platform focused on understanding public discourse during pivotal UK events. This involved designing and implementing advanced NLP pipelines for sentiment analysis, stance detection, and user profiling, with particular emphasis on Brexit and COVID-19 related discussions.

He collaborated closely with political scientists to enhance the platform's analytical capabilities, contributing to a deeper understanding of public opinion dynamics. His work included developing novel approaches for bias detection and user behavior analysis, resulting in several published research papers.

Through regular interdepartmental meetings, Youcef helped bridge the gap between technical implementation and political science research objectives, ensuring the platform effectively served both computational and social science goals.