Chris Blex is a student on the DPhil in Information, Communication & the Social Sciences.
Holding a BSc in Philosophy, Politics, and Economics (PPE) from the University of Warwick and an MPhil in Economics from the University of Cambridge, he has always been passionate about the intersection between cutting-edge quantitative methods and advancing social science research. In his Master’s dissertation he took a non-linear fat-tailed modelling approach to tackle questions in the carry trade and Peso problem.
Now he is quantitatively and empirically deciphering the reasons for the rising levels of political polarisation.
Fake news, online echo chambers, and their propagation mechanism, dynamics, and effects on opinion formation are his primary interests.
Fake news, computational propaganda, social data science, computational social science, machine learning, political polarisation in social media, echo chambers, opinion formation and dynamics
Supervisor at OII