5 citations · 13 across the 8 of their papers we have counts for
7 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…
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…
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…
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…
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…
Examining bias perpetuation in academic search engines: an algorithm audit of Google and Semantic Scholar
Celina Kacperski, Mona Bielig, Mykola Makhortykh +2
Researchers rely on academic Web search engines to find scientific sources, but search engine mechanisms may selectively present content that aligns with biases embedded in queries…