At the Oxford Internet Institute, I am working on the analysis of computational propaganda on social media. My PhD work focuses on social influence and causality on the Web - particularly, on estimating social influence of Web-mediated communications on real-world outcomes, at the collective and at the individual level. More broadly, I am interested in developing computational models and methods for understanding and analysing patterns of behaviour in online interactions, informed by the social sciences. My research interests relate to the areas of online social influence, causal inference, social network analysis, computational social science, and data science.
Liotsiou, D., Moreau, L., & Halford, S. (2016, November). Social Influence: From Contagion to a Richer Causal Understanding. In International Conference on Social Informatics (pp. 116-132). Springer International Publishing. [paper, poster] Best Poster Award.
Work in Progress
Liotsiou, D., Moreau, L., & Halford, S. (2017, work in progress). A Causal Methodological Framework for Conceptualising and Measuring Social Influence in Online Communications Using Observational Data.
Liotsiou D. (2014, June). Projecting Dental Care Need in England over the Next 20-30 Years. Masters Thesis. Sponsor Award.
Liotsiou D. (2012, September). Parallelising Ant Colony Optimisation-based solutions to the Vehicle Routing Problem in Scala. Undergraduate Thesis. High Commendation.
- Social Influence: from Contagion to a Richer Causal Understanding. The 5th annual UK Causal Inference Meeting (2017), University of Essex, United Kingdom.
- Social Influence: from Contagion to a Richer Causal Understanding. Data Natives Meeting (2017), City, University of London, United Kingdom.
I have been invited to serve on the Program Committee of the Third International Conference on Human and Social Analytics (HUSO 2017)