Dr. Mykola Makhortykh

Post-Doc

Institute of Communication and Media Studies

E-Mail
mykola.makhortykh@unibe.ch
Office
A 125
Postal Address
University of Bern
Institute of Communication and Media Studies
Fabrikstrasse 8
3012 Bern
Switzerland
Consultation Hour
Please make an appointment by E-Mail (mykola.makhortykh@unibe.ch)

Research Interests

  • Algorithmic auditing
  • Armed conflict reporting and framing
  • Artificial intelligence
  • Critical security studies and cybersecurity
  • Computational social science
  • Digitization of cultural heritage
  • Disinformation and computational propaganda
  • Information retrieval and recommendation systems
  • Memory and trauma studies

Curriculum Vitae

Mykola Makhortykh is an Alfred Landecker lecturer  at the Institute of Communication and Media Science, where he studies the impact of algorithmic systems and AI on Holocaust memory transmission. Before it, Mykola worked as postdoctoral researcher on the project “Populist radical-right attitudes and political information behaviour. A longitudinal study of attitude development in high-choice information environments” (University of Bern & University Koblenz-Landau). In his research, Mykola focuses on politics- and history-centred information behaviour in online environments and how it is affected by the information retrieval systems, such as search engines and recommender systems. To achieve this goal, he combines traditional social science methods (e.g., content analysis and focus groups) with novel computational approaches (e.g., deep learning and agent-based testing). His other research interests include trauma and memory studies, armed conflict reporting, disinformation and computational propaganda research, cybersecurity and critical security studies, and bias in information retrieval systems.

Mykola has an interdisciplinary background, which combines communication science, humanities, data science, and computer science. He received BA in History and MA in Archaeology at the Kyiv Taras Shevchenko University, a joint MA degree in Euroculture at the University of Goettingen and Jagiellonian University, and BA in Computer Science at the University of the People. Before moving to Bern, he finished his PhD at the University of Amsterdam on the relationship between Second World War remembrance and online platforms in Eastern Europe, and worked as a postdoctoral researcher in Data Science at the Amsterdam School of Communication Science for the FairNews project, where Mykola studied algorithmic (un)fairness in news personalization systems.

Memberships

Publication Year Type
Publication Year Type

Current Projects

Swiss National Science Foundation

Algorithm audit of the impact of user- and system-side factors on web search bias in the context of federal popular votes in Switzerland (2023-2027)

OFCOM, Foundations, University

Measuring the Impact of Corporate Newsrooms on Value Creation; Innosuisse and Newsroom Communication (2025-2026)

Elections through the lens of Google Auditing web search results in the context of 2023 elections in Switzerland (2023-2025)

Corporate newsrooms Exploring perceptions and experiences of newsroom structures in corporate contexts (2023-2024)

Algorithmic turn in Holocaust memory transmission: Challenges, opportunities, threats (2022-2026)

Friends Association

A Multilingual Audit of Linguistic Complexity and Communicative Accessibility of AI-Generated Climate Information (2026-2027)

Do synthetic histories matter? Assessing the effects of exposure to generative artificial intelligence-made historical content on attitudes towards history (2026-2027)

There Is Another Way of Looking at It: Conspiracy Beliefs from Another’s Point of View (2025)

Completed Projects

Swiss National Science Foundation

Reziproke Beziehung zwischen rechtspopulistischen Einstellungen und der politischen Informationsnutzung: Wie sich Einstellungen in digitalen Informationsumgebungen entwickeln (2019-2023)

OFCOM, Foundations, University

Bridging the gap: How can digital technology scholars contribute to policy making; WISO Nachwuchsförderungspoo (2025)

Bridging expert and crowd-sourced red teaming to identify and counter antisemitism in large language models; Alfred Landecker Foundation (2024-2026)

DAMMA: Digital Archive of Memorialization of Mass Atrocities; CAI (2023)

Preparing the mainstream media for the next pandemic – when does mainstream media content foster belief in conspiracy theories? (2022 – 2024)

Algorithmic content selection in Switzerland – a study of Google and YouTube (2021-2022)

Friends Association

Algorithmic curation of (political) information and its biases (2020-2021)

 

Dissertations

Vihang Jumle (Laufend)

Victoria Vziatysheva (Laufend)

Master Theses

Lia Ziegelmüller: Evil Algorithms? The Banal Evil, Sociology and Artificial Intelligence A theoretical reflection and empirical-explorative linguistic examination (2024)

Bachelor Theses

Marc-Alain Tobias Schwab: DO ALGORITHMS GO TO WAR? Auditing Google, Yandex and Bing about the Russian invasion of Ukraine – a Case Study (2023)

Michael Stefan Tschirky: Tweets about Mariupol: An Explorative Study (2022)

2022

2021