Dr. Mykola Makhortykh is a Lecturer at the Institute of Communication and Media Studies (University of Bern), where he examines how algorithmic systems and AI shape Holocaust memory transmission. Previously, he served as a postdoctoral researcher at the University of Amsterdam and University of Bern, focusing on algorithmic fairness in news personalization and political information behavior in high-choice environments. Education : BA in History (Kyiv Taras Shevchenko University), MA in Archaeology (Kyiv Taras Shevchenko University), Joint MA in Euroculture (University of Goettingen & Jagiellonian University), BA in Computer Science (University of the People), PhD in Communication Science (University of Amsterdam). Research Interests span algorithmic auditing, computational propaganda, trauma/memory studies, cybersecurity, and digital cultural heritage. He combines traditional social science methods with computational approaches like deep learning and agent-based testing to analyze how search engines and recommender systems influence historical memory and political discourse. Recent Work includes audits of search engine biases in representing mass atrocities, studies on political trolling, and analyses of hyperpartisan media. His scientific awards include the Alfred Landecker Lecturer position. As an editor , he contributes to the Studies in Russian, Eurasian and Central European New Media journal and the Transdisciplinary Trauma Studies book series. Teaching includes courses on algorithmic auditing, while his editorial work and conference presentations (over 50) highlight his interdisciplinary impact.










