Mohamed Soufan is an independent computational social science researcher specializing in large-scale social media analysis and online discourse. His work focuses on how language, uncertainty, and narrative framing influence engagement and information spread on platforms such as X (Twitter). Using large datasets and statistical analysis, he studies patterns in political and social conversations online, including how different types of messaging drive interaction, discussion, and polarization. His research aims to turn complex digital behavior into measurable insights useful for journalists, researchers, and policymakers. Soufan publishes his research on arXiv and shares data-driven analysis on social media dynamics and digital communication through his website. Website: https://soufan...