Makhortykh, Mykola

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

Bountouridis, D., Harambam, J., Makhortykh, M., Marrero, M., Tintarev, N., & Hauff, C. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 92

Memory, politics and emotions: internet memes and protests in Venezuela and Ukraine

Makhortykh, M., & González Aguilar, J. M. (2020) · Continuum

Humor Studies and ApplicationsSocial Media and Politics

Cited by 74

How search engines disseminate information about COVID-19 and why they should do better

Makhortykh, M., Urman, A., & Ulloa, R. (2020) · Harvard Kennedy School Misinformation Review

Misinformation and Its ImpactsCommunication and COVID-19 Impact

Cited by 54

Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities

Makhortykh, M., Zucker, E. M., Simon, D. J., Bultmann, D., & Ulloa, R. (2023) · Discover Artificial Intelligence

Memory, Trauma, and CommemorationMemory, violence, and history

Cited by 48

In generative AI we trust: can chatbots effectively verify political information?

Kuznetsova, E., Makhortykh, M., Vziatysheva, V., Stolze, M., Baghumyan, A., & Urman, A. (2025) · Journal of Computational Social Science

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 32

Stochastic lies: How LLM-powered chatbots deal with Russian disinformation about the war in Ukraine

Makhortykh, M., Sydorova, M., Baghumyan, A., Vziatysheva, V., & Kuznetsova, E. (2024) · Harvard Kennedy School Misinformation Review

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 19

The user is dead, long live the platform? Problematising the user-centric focus of (digital) memory studies

Makhortykh, M. (2023) · Memory Studies

Memory, Trauma, and CommemorationMemory, History, Trauma, Identity

Cited by 16