Peer-Reviewed Publications

Urman, A., Makhortykh, M., Ulloa, R., & Kulshrestha, J. (2022) Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results. Telematics and Informatics.

Ulloa, R., Richter, A., Makhortykh, M., Urman, A., Kacperski, C. (2022). Representativeness and Face-ism: Gender Bias in Image Search. New Media and Society.

Urman A., Makhortykh M. (2022) “Foreign beauties want to meet you”: The sexualization of women in Google’s organic and sponsored text search results. New Media & Society.

Urman A., Katz, S. (2022) Online publicity and outcomes of individual politically salient criminal cases in an authoritarian regime: evidence from Russia. Political Research Exchange.

Sipka, A., Hannak, A., Urman, A. (2022). Comparing the Language of QAnon-Related Content on Parler, Gab, and Twitter. Web Science Conference 2022.

Urman A., Makhortykh M., Ulloa R. (2022) Auditing the representation of migrants in image web search results. Humanities and Social Sciences Communications.

Ulloa, R., Makhortykh, M., & Urman, A. (2022) Scaling up search engine audits: Practical insights for algorithm auditing. Journal of Information Science.

de León, E., Makhortykh, M., Gil-Lopez, T., Urman, A., Adam, S. (2022). News, Threats, and Trust: How COVID-19 News Shaped Political Trust, and How Threat Perceptions Conditioned This Relationship. The International Journal of Press/Politics.

Makhortykh, M., Urman A., Münch, F., Heldt, A., Dreyer, S., & Kettemann, M. (2022). Not all who are bots are evil: A cross-platform analysis of automated agent governance. New Media and Society.

Boeker, M., & Urman, A. (2022). An Empirical Investigation of Personalization Factors on TikTok. Proceedings of the Web Conference 2022.

Makhortykh, M., Urman A., Wijermars, M. (2022) How search engines disseminate information about COVID-19 and why they should do better. The Harvard Kennedy School Misinformation Review.

Urman, A., Ionescu, S., Garcia, D., & Hannák, A. (2022). The politicization of medical preprints on Twitter during the early stages of COVID-19 pandemic. Journal of Quantitative Description: Digital Media.

Urman, A., & Katz, S. (2020). What they do in the shadows: Examining the far-right networks on Telegram. Information, Communication & Society.

Makhortykh, M., Urman, A., Gil-Lopez, T., & Ulloa, R. (2021) To track or not to track: examining perceptions of online tracking for information behavior research. Internet Research.

Urman, A., Ho, J. C., & Katz, S. (2021). Analyzing protest mobilization on Telegram: The case of 2019 Anti-Extradition Bill movement in Hong Kong. PLOS ONE, 16(10), e0256675.

Makhortykh, M., Urman, A., & Ulloa, R. (2021) Hey, Google, is it what the Holocaust looked like? Auditing algorithmic curation of visual historical content on Web search engines. First Monday.

Urman A., Makhortykh M., Ulloa R. (2021) The Matter of Chance: Auditing Web Search Results Related to the 2020 U. S. Presidential Primary Elections Across Six Search Engines. Social Science Computer Review.

Makhortykh, M., Urman, A., & Ulloa, R. (2021) Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines. In L. Boratto, S. Faralli, M. Marras, & G. Stilo (Eds.), Advances in Bias and Fairness in Information Retrieval (pp. 36–50). Springer International Publishing.

Urman, A., Makhortykh, M., & Ulloa, R. (2021). Auditing Source Diversity Bias in Video Search Results Using Virtual Agents. Companion Proceedings of the Web Conference 2021, 232–236.

Christner, C., Urman, A., Adam, S., & Maier, M. (2021). Automated Tracking Approaches for Studying Online Media Use: A Critical Review and Recommendations. Communication Methods and Measures, 0(0), 1–17.

Urman, A., & Makhortykh, M. (2021). There can be only one truth: Ideological segregation and online news communities in Ukraine. Global Media and Communication.

Makhortykh, M., Urman, A., Ulloa, R. (2020) How search engines disseminate information about COVID-19 and why they should do better. The Harvard Kennedy School Misinformation Review.

Urman, A. (2020). Context matters: political polarization on Twitter from a comparative perspective. Media, Culture & Society

Urman, A. (2019). News Consumption of Russian Vkontakte Users: Polarization and News Avoidance. International Journal Of Communication, 13, 25. Retrieved from