Elizaveta Kopacheva
Postdoctoral FellowI am a proud graduate of Saint Petersburg State University (with a specialization in Informatics and International Relations), Södertörn University (with a specialization in Political Science); and Linnaeus University (with a specialization in Computational Social Sciences).
Teaching
I am currently lecturing on the course Quantitative Methods in Social Science (4XA110). Previously, I was one of the teaching staff on the following courses: International Law and Sustainable Development, Social Science Methods II, International Law and Human Rights, Human Rights in Europe, and Democratization in The World.
I have been through formal pedagogical training (Higher Education Teacher Training) comprising three completed courses: Didactical development (4PE33U), Juridical, norm critical and ethical aspects of teaching (2PE30U), and Teaching and Learning Processes (4PE32U).
Research
My scientific interests are vast and multidisciplinary. Throughout my PhD, I focused on studying political participation by analyzing Big Data and applying computational methods and techniques, including Bayesian network analysis, regression analysis, Bayesian structural equation modeling, social network analysis, unsupervised and supervised machine learning, text mining, etc. I am particularly fascinated by the explanatory and predictive modeling of political participation in unconventional activities such as protests. In my PhD project, I focused on political activism in Russia and consider it to be my domain. However, I have also been involved in exploratory projects that looked into discussions on social media platforms. Exploratory and descriptive research normally comprise the workload around a research project. This part of work also includes visualization of Big Data, which is a fascinating part of the work in itself. Communicating the results of a research project to the public without domain expertise is a challenging yet exciting endeavour. So, I continually try to improve in this area, not least by taking courses in information visualization and visual analytics.
The overwhelming part of my work is the analysis of unstructured data. Specifically, I have always been fascinated by text mining and the possibilities of computational methods and techniques to extract needed information from free text. In this regard, today, I more often work with natural language processing, information extraction, and large language models and their application in e-Health.
My research groups
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Computational Social Sciences The research in the area Computational Social Sciences within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is about producing and…
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Linnaeus University Research Group on Political Behavior, Opinion and Parties (LNU-POP) LNU-POP is a network of researchers who analyze political behavior, opinions, parties, participation, elections,…
My ongoing research projects
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Project: Twin4dem Twin4dem aims to leverage cutting-edge Computational Social Science (CSS) techniques, such as natural language processing, data aggregation, and dynamic simulation models, to analyze…
My completed research projects
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Doctoral project: Predictors of political activism in social media This project was focused on the factors influencing people to participate in online activism and other online political activities,…
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Seed project: Using Natural Language Models for Extracting Drug-Related Problems (NLMED) The overall goal of the research in this seed project within the Linnaeus University Center for Data Intensive…
Publications
Selected publications
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Kopacheva, E. (2025). Online mobilisation strategies : Increasing political participation in semi-authoritarian regimes. Journal of Information Technology & Politics. 22 (1). 16-31.
Status: Published
Article in journal (Refereed)
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Kopacheva, E. (2025). Online mobilisation strategies : Increasing political participation in semi-authoritarian regimes. Journal of Information Technology & Politics. 22 (1). 16-31.
Status: Published -
Tambe, E.B., Kopacheva, E. (2024). Age and Political Participation in Africa’s Electoral Regimes. Representation : Journal of Representative Democracy. 60 (1). 97-115.
Status: Published -
Kopacheva, E. (2024). Explaining Protest Participation in Semi-authoritarian Regimes : The Power of Social Networks. Political Behavior.
Status: Epub ahead of print -
Kopacheva, E., Fatemi, M., Kucher, K. (2023). Using Social-Media-Network Ties for Predicting Intended Protest Participation in Russia. Online Social Networks and Media. 37-38.
Status: Published -
Kopacheva, E., Yantseva, V. (2022). Users’ polarisation in dynamic discussion networks : The case of refugee crisis in Sweden. PLOS ONE. 17 (2).
Status: Published -
Kopacheva, E. (2021). How the Internet has changed participation : Exploring distinctive preconditions of online activism. Communication & Society. 34 (2). 67-85.
Status: Published -
Kopacheva, E. (2021). Predicting online participation through Bayesian network analysis. PLOS ONE. 16 (12).
Status: Published
Doctoral thesis, comprehensive summary (Other academic)
- Kopacheva, E. (2023). The resource model of political participation 2.0 : Protesting in semi-authoritarian regimes – A privilege of the privileged. Doctoral Thesis. Linnaeus University Press. 71.