Mimie is a researcher on the Computational Propaganda project at the OII. Her research interests include online social influence, causal inference, computational social science, and data science, particularly using real-world data of online interactions.Email: email@example.com
Mimie is a researcher on the BOTFIND/ COMPROP project, on computational propaganda, working in Prof Phil Howard’s team.
She studied for her PhD (currently near submission) in Computer Science at the University of Southampton, in the Web and Internet Science group, supervised by Prof Luc Moreau and Prof Susan Halford. Her PhD focuses on causal inference for estimating the social influence of online communications on real-world outcomes, at the individual and at the collective level. Her PhD research was honoured with the Best Poster award at the 2016 International Conference on Social Informatics in Seattle, Washington.
She holds an MSc in Operational Research from the University of Southampton, and a BA (Hons) in Computer Science from the University of Cambridge.
Her research focus is on developing computational models and methods for understanding and analysing patterns of behaviour in online interactions, informed by the social sciences. Her research interests relate to the areas of online social influence, causal inference, social network analysis, computational social science, and data science.
Mimie is a member of the ACM, and of the London Computational Social Science Initiative.
Computational propaganda, social influence, causal inference, social network analysis, computational social science, data science.
Position held at the OII:
- Researcher, January 2018 –
Participants: Professor Philip Howard, Dr Vidya Narayanan, Mimie Liotsiou, Lisa-Maria Neudert, Samantha Bradshaw
This project will focus on how bots, algorithms and other forms of automation are used by political actors in countries around the world.
Participants: Professor Philip Howard, Mimie Liotsiou
This Proof of Concept project will allow researchers to produce an online tool that allows the public to evaluate suspicious social media accounts.
- (2016) "Social influence: From contagion to a richer causal understanding", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). International Conference on Social Informatics. 10047 LNCS 116-132.