47 citations · 134 across the 27 of their papers we have counts for
10 papers · 1 filter
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…