Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines. - Mykola Makhortykh; Aleksandra Urman; Roberto Ulloa (BIAS, 2021)

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents. - Aleksandra Urman; Mykola Makhortykh; Roberto Ulloa (WWW (Companion Volume), 2021)

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 (CoRR, 2021)

You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data. - Aleksandra Urman; Mykola Makhortykh (CoRR, 2021)

Algorithm Auditing at a Large-Scale: Insights from Search Engine Audits. - Roberto Ulloa; Mykola Makhortykh; Aleksandra Urman (CoRR, 2021)

Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines. - Mykola Makhortykh; Aleksandra Urman; Roberto Ulloa (First Monday, 2021)

Comparing the Language of QAnon-Related Content on Parler, Gab, and Twitter. - Andrea Sipka; Aniko Hannak; Aleksandra Urman (WebSci, 2022)

An Empirical Investigation of Personalization Factors on TikTok. - Maximilian Boeker; Aleksandra Urman (WWW, 2022)

Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data. - Mykola Makhortykh; Ernesto de León; Aleksandra Urman; Clara Christner; Maryna Sydorova; Silke Adam; Michaela Maier; Teresa Gil-Lopez (CoRR, 2022)

This is what a pandemic looks like: Visual framing of COVID-19 on search engines. - Mykola Makhortykh; Aleksandra Urman; Roberto Ulloa (CoRR, 2022)

Novelty in news search: a longitudinal study of the 2020 US elections. - Roberto Ulloa; Mykola Makhortykh; Aleksandra Urman; Juhi Kulshrestha (CoRR, 2022)

To track or not to track: examining perceptions of online tracking for information behavior research. - Mykola Makhortykh; Aleksandra Urman; Teresa Gil-Lopez; Roberto Ulloa (Internet Res., 2022)

Not all who are bots are evil: A cross-platform analysis of automated agent governance. - Mykola Makhortykh; Aleksandra Urman; Felix Victor Münch; Amélie Heldt; Stephan Dreyer; Matthias C. Kettemann (New Media Soc., 2022)

Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results. - Aleksandra Urman; Mykola Makhortykh; Roberto Ulloa; Juhi Kulshrestha (Telematics Informatics, 2022)

Dynamics of Toxic Behavior in the Covid-19 Vaccination Debate. - Azza Bouleimen; Nicolò Pagan; Stefano Cresci; Aleksandra Urman; Silvia Giordano (COMPLEX NETWORKS (4), 2023)

User's Reaction Patterns in Online Social Network Communities. - Azza Bouleimen; Nicolò Pagan; Stefano Cresci; Aleksandra Urman; Gianluca Nogara; Silvia Giordano (CoRR, 2023)

You are how (and where) you search? Comparative analysis of web search behavior using web tracking data. - Aleksandra Urman; Mykola Makhortykh (J. Comput. Soc. Sci., 2023)

Mapping the Field of Algorithm Auditing: A Systematic Literature Review Identifying Research Trends, Linguistic and Geographical Disparities. - Aleksandra Urman; Mykola Makhortykh; Aniko Hannak (CoRR, 2024)

Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine. - Elizaveta Kuznetsova; Mykola Makhortykh; Maryna Sydorova; Aleksandra Urman; Ilaria Vitulano; Martha Stolze (CoRR, 2024)

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; Viktor Aigenseer; Aleksandra Urman; Teresa Gil-Lopez; Clara Christner; Ernesto de León; Roberto Ulloa (CoRR, 2024)

Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy. - Ernesto de León; Mykola Makhortykh; Aleksandra Urman; Roberto Ulloa (CoRR, 2024)

Scaling up search engine audits: Practical insights for algorithm auditing. - Roberto Ulloa; Mykola Makhortykh; Aleksandra Urman (J. Inf. Sci., 2024)

Representativeness and face-ism: Gender bias in image search. - Roberto Ulloa; Ana Carolina Richter; Mykola Makhortykh; Aleksandra Urman; Celina Sylwia Kacperski (New Media Soc., 2024)

"Foreign beauties want to meet you": The sexualization of women in Google's organic and sponsored text search results. - Aleksandra Urman; Mykola Makhortykh (New Media Soc., 2024)

User Attitudes to Content Moderation in Web Search. - Aleksandra Urman; Aniko Hannak; Mykola Makhortykh (Proc. ACM Hum. Comput. Interact., 2024)

The right to audit and power asymmetries in algorithm auditing. - Aleksandra Urman; Ivan Smirnov; Jana Lasser (EPJ Data Sci., 2024)

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 (FAccT, 2025)

The silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and Bing Chat. - Aleksandra Urman; Mykola Makhortykh (Telematics Informatics, 2025)

In generative AI we trust: can chatbots effectively verify political information? - Elizaveta Kuznetsova; Mykola Makhortykh; Victoria Vziatysheva; Martha Stolze; Ani Baghumyan; Aleksandra Urman (J. Comput. Soc. Sci., 2025)

Where did you come from, where did you go? News trajectories in Germany and Switzerland. - Mykola Makhortykh; Ernesto de León; Aleksandra Urman; Teresa Gil-Lopez (J. Comput. Soc. Sci., 2025)