Aleksandra Urman
Cited by
Cited by
What they do in the shadows: examining the far-right networks on Telegram
A Urman, S Katz
Information, communication & society 25 (7), 904-923, 2022
Context matters: political polarization on Twitter from a comparative perspective
A Urman
Media, culture & society 42 (6), 857-879, 2020
How search engines disseminate information about COVID-19 and why they should do better
M Makhortykh, A Urman, R Ulloa
The Harvard Kennedy School (HKS) Misinformation Review 1, 2020
Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong
A Urman, JC Ho, S Katz
PloS one 16 (10), e0256675, 2021
An Empirical Investigation of Personalization Factors on TikTok
M Boeker, A Urman
Proceedings of the ACM Web Conference 2022, 2298-2309, 2022
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
Automated tracking approaches for studying online media use: A critical review and recommendations
C Christner, A Urman, S Adam, M Maier
Communication methods and measures 16 (2), 79-95, 2022
Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines
M Makhortykh, A Urman, R Ulloa
Advances in Bias and Fairness in Information Retrieval, 36-50, 2021
Comparing the Language of QAnon-related content on Parler, Gab, and Twitter
A Sipka, A Hannak, A Urman
Proceedings of the 14th ACM Web Science Conference 2022, 411-421, 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 Auditing algorithmic curation of visual historical content on Web search engines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
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, 2022
How transparent are transparency reports? Comparative analysis of transparency reporting across online platforms
A Urman, M Makhortykh
Telecommunications Policy 47 (3), 102477, 2023
Scaling up search engine audits: practical insights for algorithm auditing
R Ulloa, M Makhortykh, A Urman
Journal of Information Science, 01655515221093029, 2022
News, threats, and trust: How COVID-19 news shaped political trust, and how threat perceptions conditioned this relationship
E De León, M Makhortykh, T Gil-Lopez, A Urman, S Adam
The international journal of press/politics 28 (4), 952-974, 2023
A story of (non) compliance, bias, and conspiracies: How Google and Yandex represented Smart Voting during the 2021 parliamentary elections in Russia
M Makhortykh, A Urman, M Wijermars
Harvard Kennedy School Misinformation Review 3 (2), 1-16, 2022
News recommender systems: A programmatic research review
E Mitova, S Blassnig, E Strikovic, A Urman, A Hannak, CH de Vreese, ...
Annals of the International Communication Association 47 (1), 84-113, 2023
News Consumption of Russian Vkontakte Users: Polarization and News Avoidance
A Urman
International journal of communication 13, 5158-5182, 2019
“Foreign beauties want to meet you”: The sexualization of women in Google’s organic and sponsored text search results
A Urman, M Makhortykh
new media & society 26 (5), 2932-2953, 2024
You are how (and where) you search? Comparative analysis of web search behavior using web tracking data
A Urman, M Makhortykh
Journal of computational social science 6 (2), 741-756, 2023
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
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