47 citations · 134 across the 27 of their papers we have counts for
33 papers
SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results
Manuel Tonneau, Abhinav Dubey, Farhan Shaikh +8
Russian state propaganda spreads across many languages and online spaces. Yet, most computational work examines only one such space, usually social media, in one or two languages,…
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…
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…
Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines
Victoria Vziatysheva, Mykola Makhortykh, Maryna Sydorova +1
Search engine results depend not only on the algorithms but also on how users interact with them. However, factors affecting the selection of a search query remain understudied. Us…
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…
Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy
Ernesto de León, Mykola Makhortykh, Aleksandra Urman +1
The conspiracy theory that the US 2020 presidential election was fraudulent - the Big Lie - remained a prominent part of the media agenda months after the election. Whether and how…
Finding frames with BERT: A transformer-based approach to generic news frame detection
Vihang Jumle, Mykola Makhortykh, Maryna Sydorova +1
Framing is among the most extensively used concepts in the field of communication science. The availability of digital data offers new possibilities for studying how specific aspec…
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…
Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine
Elizaveta Kuznetsova, Mykola Makhortykh, Maryna Sydorova +3
The growing volume of online content prompts the need for adopting algorithmic systems of information curation. These systems range from web search engines to recommender systems a…
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…
WEIRD Audits? Research Trends, Linguistic and Geographical Disparities in the Algorithm Audits of Online Platforms -- A Systematic Literature Review
Aleksandra Urman, Mykola Makhortykh, Aniko Hannak
The increasing reliance on complex algorithmic systems by online platforms has sparked a growing need for algorithm auditing, a methodology evaluating these systems' functionality…
In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?
Elizaveta Kuznetsova, Mykola Makhortykh, Victoria Vziatysheva +3
This article presents a comparative analysis of the ability of two large language model (LLM)-based chatbots, ChatGPT and Bing Chat, recently rebranded to Microsoft Copilot, to det…
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…