47 citations · 134 across the 27 of their papers we have counts for
18 papers · 1 filter
High-Risk Memories? Comparative audit of the representation of Second World War atrocities in Ukraine by generative AI applications
Mykola Makhortykh, Victoria Vziatysheva, Maryna Sydorova
The rise of generative artificial intelligence (genAI) models poses new possibilities and risks for how the past is remembered by accelerating content production and altering the p…
Strong Men Create Good Memes: Far-Right Memes as Means of Authoritarian Legitimation in Russia
Polina Smirnova, Mykola Makhortykh
This study examines how Russian far-right communities on Telegram shape perceptions of political figures through meme-based visual narratives. In Russia, such groups are central be…
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…
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…
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…
LLMs as information warriors? Auditing how LLM-powered chatbots tackle disinformation about Russia's war in Ukraine
Mykola Makhortykh, Ani Baghumyan, Victoria Vziatysheva +2
The rise of large language models (LLMs) has a significant impact on information warfare. By facilitating the production of content related to disinformation and propaganda campaig…
A Matter of Mindset? Features and Processes of Newsroom-based Corporate Communication in Times of Artificial Intelligence
Tobias Rohrbach, Mykola Makhortykh
Many companies adopt the corporate newsroom model to streamline their corporate communication. This article addresses why and how corporate newsrooms transform corporate communicat…
Finding the white male: The prevalence and consequences of algorithmic gender and race bias in political Google searches
Tobias Rohrbach, Mykola Makhortykh, Maryna Sydorova
Search engines like Google have become major information gatekeepers that use artificial intelligence (AI) to determine who and what voters find when searching for political inform…
Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
Silke Adam, Mykola Makhortykh, Michaela Maier +6
This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampl…
No AI After Auschwitz? Bridging AI and Memory Ethics in the Context of Information Retrieval of Genocide-Related Information
Mykola Makhortykh
The growing application of artificial intelligence (AI) in the field of information retrieval (IR) affects different domains, including cultural heritage. By facilitating organisat…
User Attitudes to Content Moderation in Web Search
Aleksandra Urman, Aniko Hannak, Mykola Makhortykh
Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies…
Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities
Mykola Makhortykh, Eve M. Zucker, David J. Simon +2
The memorialization of mass atrocities such as war crimes and genocides facilitates the remembrance of past suffering, honors those who resisted the perpetrators, and helps prevent…
Novelty in news search: a longitudinal study of the 2020 US elections
Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman +1
The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of sea…
The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines
Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa
We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default - that is nonpersonalized…