This image shows Iuliia Alieva

Iuliia Alieva

Dr.

Academic staff member
Institute for Social Sciences
Department for Computational Social Science

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Seidenstraße 36
70174 Stuttgart
Germany
Room: 2.067

Subject

Dr. Iuliia Alieva is a postdoctoral researcher at the Computational Social Science lab at the University of Stuttgart. Her research interests encompass a combination of social science, data science, and computer science, applying methodologies and theories from network science, social media analysis, and journalism and communication research. Her current work focuses on analyzing online disinformation activities, particularly state-funded propaganda during major global events.

  1. 2024

    1. Alieva, I., & Carley, K. M. (2024). Exploring Russian Anti-War Discourse on Twitter during Russia’s full-scale invasion of Ukraine: Dynamics, Influence, and Narratives. Proceedings of the 18th International AAAI Conference on Web and Social Media.
    2. Alieva, I., & Carley, K. M. (2024). Computational Network Analysis of Metajournalistic Discourse: Analyzing Journalism Coverage of Russia’s Invasion of Ukraine. Informed Democracy & Social - Cybersecurity (IDeaS) Conference.
    3. Alieva, I., Kloo, I., & Carley, K. M. (2024). Analyzing Russia’s propaganda tactics on Twitter using mixed methods network analysis and natural language processing: a case study of the 2022 invasion of Ukraine. EPJ Data Science, 13, Article 1.

  2. 2023

    1. Alieva, I. (2023). How American media framed 2016 presidential election using data visualization: The case study of the New York times and the Washington post. Journalism Practice, 17, Article 4.
    2. Alieva, I., & Bluth, N. (2023). Framing the US and Russia coverage: The limited agency of foreign correspondents and the reproduction of bias in the news. Journalism Studies, 24, Article 16.
    3. Alieva, I., & Carley, K. M. (2023). Network analysis of Russian Anti-War Discourse on Twitter during Russia’s invasion of Ukraine. Informed Democracy & Social - Cybersecurity (IDeaS) Conference.
    4. Alieva, I., Kloo, I., & Carley, K. M. (2023). Analyzing Russian Propaganda on Twitter during the Russia’s Invasion of Ukraine Using Mixed Methods Network Analysis. 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation.
    5. Alieva, I., Robertson, D., & Carley, K. M. (2023). Localizing COVID-19 Misinformation: A Case Study of Tracking Twitter Pandemic Narratives in Pennsylvania Using Computational Network Science. Journal of Health Communication, 28, Article sup1.

  3. 2022

    1. Alieva, I., Moffitt, J., & Carley, K. M. (2022). How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter. Social Network Analysis and Mining, 12, Article 1.
    2. Alieva, I., Ng, L. H. X., & Carley, K. M. (2022). Investigating the spread of Russian disinformation about biolabs in Ukraine on Twitter using social network analysis. 2022 IEEE International Conference on Big Data (Big Data), 1770–1775.

  4. 2021

    1. Alieva, I., & Carley, K. M. (2021). Internet trolls against russian opposition: A case study analysis of twitter disinformation campaigns against alexei navalny. 2021 IEEE International Conference on Big Data (Big Data), 2461–2469.

  5. 2019

    1. Kearney, M., Hu, L., & Alieva, I. (2019). ppcong: Interfacing with ProPublica’s ‘Congress’ API. In CRAN (No. https://CRAN.R-project.org/package=ppcon).

Summer Semester 2025

  • Understanding Mis/Disinformation and Conspiracy Theories, Sociological Project Seminar Part 2, Monday, 2:00 – 3:30 PM, Room M 36.21
  • AI and Society, Seminar, Tuesday, 2:00 – 3:30 PM, Room M 36.21
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