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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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5 papers · 1 filter

cs.CY2024★ 4 cited

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 +6

This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampl…

cs.CY2023★ 6 cited

The right to audit and power asymmetries in algorithm auditing

Aleksandra Urman, Ivan Smirnov, Jana Lasser

In this paper, we engage with and expand on the keynote talk about the Right to Audit given by Prof. Christian Sandvig at the IC2S2 2021 through a critical reflection on power asym…

cs.CY2022

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

Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman +1

The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of sea…

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.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…