Cristina Chueca Del Cerro

Cristina Chueca Del Cerro

Office: Room 115 LilyBank House, Glasgow G12 8RT




Research Title

Political Polarization and Violence around Independence Movements in Online and Offline Social Networks

Research Summary

Cristina was the first graduate of the Politics with Quantitative Methods MA (SocSci) (Hons) programme, part of Q-Step, at Glasgow University. Then, she secured a highly competitive funding bid for a 1+3 studentship with the Scottish Graduate School of Social Sciences (SGSSS) to work on political polarization in social media platforms using Advanced Quantitative Methods (AQM). 


During the first year of her studentship, she completed her MRes in Political Communication with distinction. For her dissertation she developed and tested a theoretical model of echo chambers on social media platforms, using an agent-based model. The goal being to uncover the necessary network conditions for echo chambers to emerge on social media platforms.


She is undertaking a PhD investigating the impact of independence movements in generating polarization in online and offline networks. She is continuing her previous research using agent-based models to understand how polarization emerges when independence sentiments are present in a given country.


Moreover, Cristina is part of the Complexity programme at the MRC/CSO Social and Public Health Sciences Unit. At the same part of the Comparative Politics Research Cluster at SSPS.



The Capability-Expectation Gap in EU Foreign Policy after the Lisbon Treaty – E-International Relations Students (link)


SGSSS Advanced Quantitative Methods (AQM) Award


EuroCSS Symposium 2019 Polarization and Radicalization, Zurich, Switzerland

Additional Information

Cristina has built two Shiny Apps using the Scottish Index of Multiple Deprivation (SIMD) and the British Election Survey as part of her Q-Step Internship (2018-2019). These have been used by the School of Social and Political Sciences at engagement events with prospective students and highschoolers. The goal of these apps is to teach students about statistics in an accessible and friendly manner. Students can manipulate the data, run statistical tests and create graphs to their desired as well as exploring the results of those choices.