47 citations · 134 across the 27 of their papers we have counts for
9 papers · 1 filter
Generic visuality of war? How image-generative AI models (mis)represent Russia's war against Ukraine
Mykola Makhortykh, Miglė Bareikytė
The rise of generative AI (genAI) can transform the representation of different aspects of social reality, including modern wars. While scholarship has largely focused on the milit…
Invisible in Search? Auditing Aesthetic Bias in the Visual Representation of Holocaust Victims on Google
Mykola Makhortykh, Tobias Rohrbach, Maryna Sydorova
Information retrieval systems, such as search engines, increasingly shape the representation of the past and present states of social reality. Despite their importance, these syste…
Incorporation of journalistic approaches into algorithm design
Mariella Bastian, Damian Trilling, Mykola Makhortykh
The growing adoption of algorithm-powered tools in journalism enables new possibilities and raises many concerns. One way of addressing these concerns is by integrating journalisti…
Evolution of wartime discourse on Telegram: A comparative study of Ukrainian and Russian policymakers' communication before and after Russia's full-scale invasion of Ukraine
Mykola Makhortykh, Aytalina Kulichkina, Kateryna Maikovska
This study examines elite-driven political communication on Telegram during the ongoing Russo-Ukrainian war, the first large-scale European war in the social media era. Using a uni…
Campaigning through the lens of Google: A large-scale algorithm audit of Google searches in the run-up to the Swiss Federal Elections 2023
Tobias Rohrbach, Mykola Makhortykh, Maryna Sydorova
Search engines like Google have become major sources of information for voters during election campaigns. To assess potential biases across candidates' gender and partisan identiti…
From prosthetic memory to prosthetic denial: Auditing whether large language models are prone to mass atrocity denialism
Roberto Ulloa, Eve M. Zucker, Daniel Bultmann +2
The proliferation of large language models (LLMs) can influence how historical narratives are disseminated and perceived. This study explores the implications of LLMs' responses on…
Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information
Elizaveta Kuznetsova, Ilaria Vitulano, Mykola Makhortykh +3
The purpose of this study is to assess how large language models (LLMs) can be used for fact-checking and contribute to the broader debate on the use of automated means for veracit…
Digital Dybbuks and Virtual Golems: The Ethics of Digital Duplicates in Holocaust Testimony
Atay Kozlovski, Mykola Makhortykh
Advances in generative artificial intelligence (AI) have driven a growing effort to create digital duplicates. These semi-autonomous recreations of living and dead people can be us…
Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections
Mykola Makhortykh, Tobias Rorhbach, Maryna Sydorova +1
Search engines play an important role in the context of modern elections. By curating information in response to user queries, search engines influence how individuals are informed…