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

34 citations · 45 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR202134 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.IR202111 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.CY2021

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…

cs.CY2020

'I Updated the <ref>': The Evolution of References in the English Wikipedia and the Implications for Altmetrics

Olga Zagovora, Roberto Ulloa, Katrin Weller +1

With this work, we present a publicly available dataset of the history of all the references (more than 55 million) ever used in the English Wikipedia until June 2019. We have appl…

physics.soc-ph2020

A Simulation of the Resilience of Cultural Diversity in the Face of Large-Scale Events

R. Ulloa, C. Kacperski

Resilience and vulnerability of societies to large-scale events such as wars, climate catastrophes, immigration waves, and institutional collapses is not well-understood. Some soci…