Dr. Mykola Makhortykh
Institute of Communication and Media Science
University of Bern
Alfred Landecker lecturer
I am an interdisciplinary researcher studying the impact of algorithm- and artificial intelligence (AI)-powered systems on politics- and history-related information behavior online. Currently, I work as an Alfred Landecker lecturer at the Institute of Communication and Media Studies (University of Bern). I serve as a principal investigator on projects, dealing with the impact of platforms and AI on democratic decision-making, collective remembrance of genocides and mass atrocities, authoritarian war propaganda, and the dissemination of hate speech. In recent years, my research was funded by the Swiss National Science Fund, Alfred Landecker Foundation, and Bundesamt für Kommunikation.
My academic background bridges humanities, communication science, computer science, and media studies. I completed my PhD at the University of Amsterdam on the mediation of Second World War memory in Eastern Europe by digital platforms, and hold Bachelor's degrees in History and Computer Science, and Master's degrees in Archaeology, International Relations, and Euroculture from the Kyiv Taras Shevchenko University, Jagiellonian University, University of Göttingen, and the University of the People. This unique background allows me to connect different theoretical and methodological perspectives with a particular emphasis on methodologies for transdisciplinary research.
In my work, I use a broad range of methods, including traditional social science approaches, which range from interview- and survey-based research to experiments and mixed-method content analysis, computational approaches for large-scale multimodal data collection and analysis, including AI-facilitated text and visual analysis, and agent-based testing, and normative ethical frameworks such as minimally viable permissibility principle. To share my expertise, I have been developing and teaching university and summer/winter school courses on a broad range of subjects, from algorithm and AI audits to the use of large language models for content analysis to tackling ethical challenges of online research.