Roberto Ulloa
Roberto Ulloa
University of Konstanz
Geverifieerd e-mailadres voor gesis.org - Homepage
Geciteerd door
Geciteerd door
How search engines disseminate information about COVID-19 and why they should do better
M Makhortykh, A Urman, R Ulloa
USA 1 (3), 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
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
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
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
“I updated the”: The evolution of references in the English Wikipedia and the implications for altmetrics
O Zagorova, R Ulloa, K Weller, F Flöck
Quantitative Science Studies 3 (1), 147-173, 2022
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
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 Auditing algorithmic curation of visual historical content on Web search engines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
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
Scaling up search engine audits: practical insights for algorithm auditing
R Ulloa, M Makhortykh, A Urman
Journal of information science, 01655515221093029, 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
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
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
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
Hey, Google, is it what the Holocaust looked like?
M Makhortykh, A Urman, R Ulloa
First Monday, online, 2021
Kivy–Interactive Applications and Games in Python
R Ulloa
Packt Publishing Ltd, 2015
Representativeness and face-ism: Gender bias in image search
R Ulloa, AC Richter, M Makhortykh, A Urman, CS Kacperski
new media & society, 14614448221100699, 2022
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
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
This Is What Pandemic Looks Like: Visual Framing of COVID-19 on Search Engines
M Makhortykh, A Urman, R Ulloa
COVID Communication: Exploring Pandemic Discourse, 113-123, 2023
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