Aleksandra Urman

According to our database, Aleksandra Urman authored at least 38 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GoogleTrendArchive: A Year-Long Archive of Real-Time Web Search Trends Worldwide.

Aleksandra Urman, Anikó Hannák, Joachim Baumann

CoRR, March, 2026

Auditing the bias of conversational AI systems in occupational recommendations: a novel approach to bias quantification via Holland's theory.

Jacob Gelling, Aleksandra Urman, Aniko Hannak

J. Comput. Soc. Sci., February, 2026

Beyond the Query: A Survey Design for Eliciting Underlying Motivations in Web Search.

Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak

Proceedings of the 2026 Conference on Human Information Interaction and Retrieval, 2026

A New Taxonomy of Web Search: A User-Centered Framework for Search Intent in the AI Era.

Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Auditing Google's AI Overviews and Featured Snippets: A Case Study on Baby Care and Pregnancy.

Desheng Hu, Joachim Baumann, Aleksandra Urman, Elsa Lichtenegger, Robin Forsberg, Aniko Hannak, Christo Wilson

CoRR, November, 2025

Reduced AI Acceptance After the Generative AI Boom: Evidence From a Two-Wave Survey Study.

Joachim Baumann, Aleksandra Urman, Ulrich Leicht-Deobald, Zachary J. Roman, Anikó Hannák, Markus Christen

CoRR, October, 2025

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation.

Joachim Baumann, Paul Röttger, Aleksandra Urman, Albert Wendsjö, Flor Miriam Plaza del Arco, Johannes B. Gruber, Dirk Hovy

CoRR, September, 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., May, 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., February, 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

Opportunity structures for user acceptance of news recommender systems (NRS): A multi-country survey study of relationships between individual-level factors and evaluations of NRS.

Edina Strikovic, Sina Blassnig, Eliza Mitova, Aleksandra Urman, Frank Esser, Claes de Vreese

New Media Soc., 2025

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

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

The right to audit and power asymmetries in algorithm auditing.

Aleksandra Urman, Ivan Smirnov, Jana Lasser

EPJ Data Sci., December, 2024

User Attitudes to Content Moderation in Web Search.

Aleksandra Urman, Aniko Hannak, Mykola Makhortykh

Proc. ACM Hum. Comput. Interact., 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

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

Scaling up search engine audits: Practical insights for algorithm auditing.

Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman

J. Inf. Sci., 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

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

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

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

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., October, 2023

User's Reaction Patterns in Online Social Network Communities.

Azza Bouleimen, Nicolò Pagan, Stefano Cresci, Aleksandra Urman, Gianluca Nogara, Silvia Giordano

CoRR, 2023

Dynamics of Toxic Behavior in the Covid-19 Vaccination Debate.

Azza Bouleimen, Nicolò Pagan, Stefano Cresci, Aleksandra Urman, Silvia Giordano

Proceedings of the Complex Networks & Their Applications XII, 2023

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

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

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

Novelty in news search: a longitudinal study of the 2020 US elections.

Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman, Juhi Kulshrestha

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

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

An Empirical Investigation of Personalization Factors on TikTok.

Maximilian Boeker, Aleksandra Urman

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Comparing the Language of QAnon-Related Content on Parler, Gab, and Twitter.

Andrea Sipka, Aniko Hannak, Aleksandra Urman

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

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

Algorithm Auditing at a Large-Scale: Insights from Search Engine Audits.

Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman

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

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

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents.

Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa

Proceedings of the Companion of The Web Conference 2021, 2021

Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines.

Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021