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Aleksandra Urman

University of Zurich

15 papers hereh-index 211.2k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author7
  • last author3

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.IR6
  • cs.CY5
  • cs.CL2
  • cs.HC2
affiliations
  • University of Zurich
Homepage
same name
  • Aleksandra Urman — 6 papers, h 7
  • Aleksandra Urman — 4 papers, h 3
  • Aleksandra Urman — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedAn Empirical Investigation of Personalization Factors on TikTok

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

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.IR2024

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

Ernesto de León, Mykola Makhortykh, Aleksandra Urman +1

The conspiracy theory that the US 2020 presidential election was fraudulent - the Big Lie - remained a prominent part of the media agenda months after the election. Whether and how…

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.IR2024

Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine

Elizaveta Kuznetsova, Mykola Makhortykh, Maryna Sydorova +3

The growing volume of online content prompts the need for adopting algorithmic systems of information curation. These systems range from web search engines to recommender systems a…

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