34 citations · 50 across the 7 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…