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Simon Schweighofer

Assistant Professor

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Research activity per year

Personal profile

Personal profile

Simon Schweighofer joined the Media Communication Department in 2020 as Assistant Professor for Quantitative Research and Analysis. Simon holds a PhD degree in Computational Social Science from ETH Zurich, an MSc and BSc in Psychology, as well as an MA and BA in Sociology from University of Salzburg. He previously taught at the Paracelsus Medical University Salzburg. Simon has published in renowned journals, such as Policy and Internet, Chaos, and EPJ Data Science, and presented his research in various international conferences, among them the International Conference on Computational Social Science (IC2S2), the Conference of the International Society of Research on Emotion (ISRE), and Complex Networks. His research focuses on online data (especially text), social networks, and the roots of political polarization.

Research interests

Online Media and Social Networks

Opinion Formation and Social Influence

Political Polarization, Tribalism and Conflict

Natural Language Processing, Sentiment Detection and Machine Learning

Behavioral Economics and Game Theory

Agent-Based and Opinion Dynamics Modeling

Social Network Analysis

Data Visualization

Statistical Analysis and Modeling


Postdoc, Complexity Science Hub Vienna, 2018-2019

Postdoc, ETH Zurich, 2018

Lecturer, Paracelsus Medical University Salzburg, 2011-2015

Education/Academic qualification

BSc, Psychology, University of Salzburg, 2011

BA, Sociology, University of Salzburg, 2012

MSc, Psychology, University of Salzburg, 2013

MA, Sociology, University of Salzburg, 2015

PhD, Computational Social Science, ETH Zurich, 2018

Person Types

  • Staff


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