Aleksandra Urman

Orcid: 0000-0003-3332-9294

According to our database1, Aleksandra Urman authored at least 27 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The right to audit and power asymmetries in algorithm auditing.
EPJ Data Sci., December, 2024

User Attitudes to Content Moderation in Web Search.
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.
New Media Soc., 2024

Representativeness and face-ism: Gender bias in image search.
New Media Soc., 2024

Scaling up search engine audits: Practical insights for algorithm auditing.
J. Inf. Sci., 2024

Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy.
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.
CoRR, 2024

Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine.
CoRR, 2024

Mapping the Field of Algorithm Auditing: A Systematic Literature Review Identifying Research Trends, Linguistic and Geographical Disparities.
CoRR, 2024

2023
You are how (and where) you search? Comparative analysis of web search behavior using web tracking data.
J. Comput. Soc. Sci., October, 2023

In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?
CoRR, 2023

User's Reaction Patterns in Online Social Network Communities.
CoRR, 2023

Dynamics of Toxic Behavior in the Covid-19 Vaccination Debate.
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.
Telematics Informatics, 2022

Not all who are bots are evil: A cross-platform analysis of automated agent governance.
New Media Soc., 2022

To track or not to track: examining perceptions of online tracking for information behavior research.
Internet Res., 2022

Novelty in news search: a longitudinal study of the 2020 US elections.
CoRR, 2022

This is what a pandemic looks like: Visual framing of COVID-19 on search engines.
CoRR, 2022

Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data.
CoRR, 2022

An Empirical Investigation of Personalization Factors on TikTok.
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.
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.
First Monday, 2021

Algorithm Auditing at a Large-Scale: Insights from Search Engine Audits.
CoRR, 2021

You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data.
CoRR, 2021

The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines.
CoRR, 2021

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents.
Proceedings of the Companion of The Web Conference 2021, 2021

Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021


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