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20212024
most citedAn Empirical Investigation of Personalization Factors on TikTok

108 citations · 261 across the 14 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.IR2021★ 1 cited

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 +1

Web search engines are important online information intermediaries that are frequently used and highly trusted by the public despite multiple evidence of their outputs being subjec…

cs.CY2021★ 35 cited

Comparing the Language of QAnon-related content on Parler, Gab, and Twitter

Andrea Sipka, Aniko Hannak, Aleksandra Urman

Parler, a "free speech" platform popular with conservatives, was taken offline in January 2021 due to the lack of moderation of hateful and QAnon- and other conspiracy-related cont…

cs.IR2021★ 34 cited

Detecting race and gender bias in visual representation of AI on web search engines

Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa

Web search engines influence perception of social reality by filtering and ranking information. However, their outputs are often subjected to bias that can lead to skewed represent…

cs.IR2021★ 11 cited

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents

Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa

We audit the presence of domain-level source diversity bias in video search results. Using a virtual agent-based approach, we compare outputs of four Western and one non-Western se…

cs.HC2021★ 4 cited

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

Aleksandra Urman, Mykola Makhortykh

We conduct a comparative analysis of desktop web search behaviour of users from Germany (n=558) and Switzerland (n=563) based on a combination of web tracking and survey data. We f…

cs.CY2021★ 47 cited

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

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default - that is nonpersonalized…