How search engines disseminate information about COVID-19 and why they should do better M Makhortykh, A Urman, R Ulloa Harvard Kennedy School Misinformation Review 1 (3), 2020 | 60 | 2020 |
The matter of chance: Auditing web search results related to the 2020 US presidential primary elections across six search engines A Urman, M Makhortykh, R Ulloa Social science computer review 40 (5), 1323-1339, 2022 | 48 | 2022 |
Detecting race and gender bias in visual representation of AI on web search engines M Makhortykh, A Urman, R Ulloa International Workshop on Algorithmic Bias in Search and Recommendation, 36-50, 2021 | 44 | 2021 |
Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines M Makhortykh, A Urman, R Ulloa First Monday 26 (10), 2021 | 30 | 2021 |
Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results A Urman, M Makhortykh, R Ulloa, J Kulshrestha Telematics and informatics 72, 101860, 2022 | 25 | 2022 |
Scaling up search engine audits: practical insights for algorithm auditing R Ulloa, M Makhortykh, A Urman Journal of information science 50 (2), 404-419, 2024 | 22* | 2024 |
Impact of incentives for greener battery electric vehicle charging–A field experiment C Kacperski, R Ulloa, S Klingert, B Kirpes, F Kutzner Energy Policy 161, 112752, 2022 | 20 | 2022 |
“I updated the”: The evolution of references in the English Wikipedia and the implications for altmetrics O Zagovora, R Ulloa, K Weller, F Flöck Quantitative Science Studies 3 (1), 147-173, 2022 | 19 | 2022 |
Institutions and cultural diversity: Effects of democratic and propaganda processes on local convergence and global diversity R Ulloa, C Kacperski, F Sancho PLoS one 11 (4), e0153334, 2016 | 17 | 2016 |
Auditing the representation of migrants in image web search results A Urman, M Makhortykh, R Ulloa Humanities and Social Sciences Communications 9 (1), 1-16, 2022 | 16 | 2022 |
To track or not to track: examining perceptions of online tracking for information behavior research M Makhortykh, A Urman, T Gil-Lopez, R Ulloa Internet Research 32 (7), 260-279, 2022 | 14 | 2022 |
Auditing source diversity bias in video search results using virtual agents A Urman, M Makhortykh, R Ulloa Companion proceedings of the web conference 2021, 232-236, 2021 | 14 | 2021 |
Representativeness and face-ism: Gender bias in image search R Ulloa, AC Richter, M Makhortykh, A Urman, CS Kacperski new media & society, 14614448221100699, 2022 | 12 | 2022 |
Shall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocities M Makhortykh, EM Zucker, DJ Simon, D Bultmann, R Ulloa Discover Artificial Intelligence 3 (1), 28, 2023 | 11 | 2023 |
Digital Archive of Memorialization of Mass Atrocities (DAMMA) Workshop Whitepaper D Bultmann, M Makhortykh, D Simon, R Ulloa, EM Zucker Yale University Genocide Studies Program: Mass Atrocities in the Digital Era …, 2022 | 11 | 2022 |
Do athletes imagine being the best, or crossing the finish line first? A mixed methods analysis of construal levels in elite athletes’ spontaneous imagery C Kacperski, R Ulloa, C Hall Journal of Mixed Methods Research 13 (2), 216-241, 2019 | 11 | 2019 |
Memory, counter-memory and denialism: How search engines circulate information about the Holodomor-related memory wars M Makhortykh, A Urman, R Ulloa Memory studies 15 (6), 1330-1345, 2022 | 9 | 2022 |
Search engine effects on news consumption: Ranking and representativeness outweigh familiarity in news selection R Ulloa, C Kacperski Sylwia New Media & Society 2023 (0), https://doi.org/10.1177/14614448231154, 2023 | 7 | 2023 |
Kivy–Interactive Applications and Games in Python R Ulloa Packt Publishing Ltd, 2015 | 7 | 2015 |
How search engines disseminate information about COVID-19 and why they should do better. Harvard Kennedy School Misinformation Review 1, COVID-19 and Misinformation (May 2020) M Makhortykh, A Urman, R Ulloa | 6 | 2020 |