fellow

Michael Maes

2022-2023
Home institution
Karlsruhe Institute of Technology
Country of origin (home institution)
Germany
Discipline(s)
Information and communication sciences Sociology
Theme(s)
Democracy, Citizenship, Governance Digital Society Information & media
Fellowship dates
Biography

Michael is a NIAS-Lorentz Theme Group Fellow (Social Media for Digital Democracy: Theory, Applications, Algorithms) during 2022-2023.

"I am professor of sociology at the Karlsruhe Institute of Technology. My chair is part of the Institute of Technology Futures, and focusses on sociology and computational social science. In addition, I am the scientific director of the Methods Lab at KIT’s House of Competence.

My general research interest concerns collective action and social integration in social networks. I use computational modeling techniques to develop new hypotheses. To test these hypotheses, I have gathered longitudinal network data in several organizations and conducted laboratory experiments. In the past years, my focus has shifted towards process of opinion polarization and the spreading of falsehoods in online communication systems. For instance, I develop computer models of online social networks and study the effects of filter bubbles, and social bots. I test model assumptions and predictions with observational data from the web and field experiments.

Before moving to Karlsruhe, I was assistant professor at the Department of Sociology and the ICS at the University of Groningen. Before that, I was senior scientist at ETH Zurich.

I taught model building, sociological theory, and research methodology in the undergraduate Sociology program of the University of Leipzig, and the University of Groningen, as well as at ETH Zurich and the KIT."

Research Project
The Complexity of Opinion Dynamics

Digital communication platforms (e.g. Facebook, Twitter, LiquidFeedback) are complex systems, as they allow vast numbers of users to create, share, evaluate, and adjust content in short time. One the one hand, research by social-psychologists, computational social-scientists, and communication researchers is providing growing insight into how users select online services, choose content to consume, create content, and form political views online. On the other hand, there is a gap in the literature concerning the collective consequences arising from the interplay of these individual decisions. When will individuals’ tendency to connect to likeminded users make social-networks segregate into homogenous bubbles? When will individuals’ tendency to consume popular content turn some content viral? When is the individual tendency to resort to online echo chambers strong enough to generate collective opinion polarization? When will these dynamics support democratic debate?

Research Interests:

Social media dynamics and collective behavior; Online polarization and echo chambers; Digital communication and democratic processes