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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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6 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.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…

cs.IR2022★ 2 cited

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

Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa

In today's high-choice media environment, search engines play an integral role in informing individuals and societies about the latest events. The importance of search algorithms i…

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.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…