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Anastasia Zhukova

Data & Knowledge Engineering Group
University of Wuppertal
School of Electrical,
Information and Media Engineering
Rainer-Gruenter-Str. 21
D-42119 Wuppertal
Office: FC 1.17

Phone: +49 (0)202 439 1878


Project websites

Anastasia Zhukova

Doctoral Researcher

Office: FC 1.17

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Anastasia has completed her Engineering degree (Diploma in Information Technology) in Moscow Aviation Institute (National Research University) and proceeded with her Master studies at the University of Konstanz with the focus on Machine Learning and Natural Language Processing. She compiled her master's thesis on the topic of Automated Identification of Framing by Word Choice and Labeling to Reveal Media Bias in News Articles. 


Anastasia's research interests lies in the intersection of computer and social sciences. Applying machine learning and natural language processing to the problems originally existed in the social sciences, e.g., content analysis, she seeks developing reliable prototypes to analyze biased word choice that could replace manual time-consuming analyses and assist researchers and readers to analyze news coverage.

Anastasia's prime interest lies in the areas of

  • Machine learning
  • Natural language processing
  • Language modelling
  • Information visualization
  • Framing analysis and media bias

If you would like to collaborate or discuss a possibility of working on a student project in the areas of data analysis, feel free to contact me via email.


04/2019 - present Doctoral Researcher
Data & Knowledge Engineering Group, University of Wuppertal
02/2018 - 07/2018 Visiting Researcher
National Institute of Informatics (NII), Tokyo, Japan
10/2015 - 03/2019 Computer and Information Science, M.Sc.
University of Konstanz, Konstanz
07/2014 - 09/2015 Senior Analyst
Renaissance Credit Bank, Moscow, Russia
09/2008 - 03/2014 Information Technology, M.Eng.
Moscow Aviation Institute (National Research University), Moscow, Russia



I am widely open for student projects in the areas of Natural Language Processing (NLP), especially applied to news analysis, information extraction, chat bots, and Q&A systems. The slides below are example projects on which I work (big resolution). Please contact me if interested and let's talk! 


  1. Illegal Aliens or Undocumented Immigrants? Towards the Automated Identification of Bias by Word Choice and Labeling

    F. Hamborg, A. Zhukova, and B. Gipp
    in Proceedings of the iConference 2019, 2019 
  2. Automated Identification of Media Bias by Word Choice and Labeling in News Articles
    F. Hamborg, A. Zhukova, and B. Gipp
    in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2019.
  3. Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
    A. Zhukova, F. Hamborg, K. Donnay, and B. Gipp, in Proceedings of the iConference 2021, 2021. 
  4. XCoref: Cross-document Coreference Resolution in the Wild
    A. Zhukova, F. Hamborg, K. Donnay, and B. Gipp,
    in Proceedings of the iConference 2022, 2022.
zuletzt bearbeitet am: 10.12.2021