Anastasia Zhukova

RESEARCH INTERESTS

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.

SHORT CV

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

TEACHING & PROJECTS

PUBLICATIONS

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 
   PDF
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.
   PDF