Keywords: simulation modeling, adaptive agent, text as data, automatic text analysis


The article shows a perspective using information and communication technologies for the amplification of the political processes research methodology. It considered the evolving of research with computational techniques using, complications and a variety of possible approaches.

It gives information about using simulation modeling, especially the autonomous adaptive agent method for the research related to the course of political events prognostication. It shows the possibilities of computer modeling for the analysis of complex dynamic systems in which decision-making at the micro level changes the system as a whole. In the article are noted the advantages and disadvantages of simulation modeling for political science research.

It is stressed that the internet and social network development is important for modern scientists and gives examples of using social networks as a field and tool for political science analysis. It is noted that the use of such an approach can be an important addition to classical methods. It describes in short the possibilities of «Big Data analysis» for political science and stressed the advantages of the method for research conducting.

The text provides information about the «text as data» method for automatically mining and analytical processing of large-scale textual information. It gives an example of the “text as data” used and is noted that the proposed method is useful for comparative analysis. It shows the possibilities of using the method of automatic text analysis not only for processing modern information in digital form but also for the information contained in printed sources using computer optical text recognition. At the same time describes in short, the limitations and disadvantages of this method. Conclusions are drawn that information and communication technologies expands the methodology of political science research, improves efficiency and reliability of conclusions.


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Author Biography

Oleksandr Chornenkyi, V.N. Karazin Kharkiv National University, 4, Svoboda Sq., Kharkiv, 61022, Ukraine

PhD student, Department of Political Sciences.


Johnson, P. E. 1999. Simulation Modeling in Political Science. American Behavioral Scientist Vol. 42, Iss.10 : 1509-1530. URL:

Voinea C. F. 2016. Political Attitudes. Computational and simulation modelling. Chichester: John Wiley & Sons, Ltd. 306 p.

Langton, C. G. (Ed.). 1997. Artificial life: An overview. Cambridge: MIT Press.

Paravantis, J.A. 2016. From Game Theory to Complexity, Emergence and Agent-Based Modeling in World Politics. In: Tsihrintzis, G., Virvou, M., Jain, L. (eds) Intelligent Computing Systems. Studies in Computational Intelligence, vol 627. Springer, Berlin, Heidelberg. URL:

Qiu, Lin, Phang, Riyang. 2020. Agent-Based Modeling in Political Decision Making. Oxford Research Encyclopedia of Politics. Oxford University Press . URL:

Wilkenfeld, J., & Kaufman, J. 1993. Political science: Network simulation in international politics. Social Science Computer Review, 11(4), 464–476. URL:

Fukuyama F. 1999. The great disruption. London: Profile Books. 326 p.

DiGrazia, J, McKelvey, K, Bollen J, Rojas, F. 2013. More Tweets, More Votes: Social Mediaas a Quantitative Indicator of Political Behavior. PLoS ONE 8(11): e79449. URL:

Praet, S., Van Aelst, P., van Erkel, P., Van der Veeken, S., & Martens, D. 2021. Predictive modeling to study lifestyle politics with Facebook likes. EPJ Data Science , 10(1) , 50. URL:

Lowndes, V., Marsh D. Stoker D. 2017. Theory and Methods in Political Science (4th ed.). Bloomsbury Publishing. URL:

Wilkerson, J., & Casas, A. 2017. Large-scale computerized text analysis in political science: Opportunities and challenges. Annual Review of Political Science 20: 529-544. URL:

Lucas, C., Nielsen, R., Roberts, M., Stewart, B., Storer, A.&Tingley, D. 2015. Computer-Assisted Text Analysis for Comparative Politics. Political Analysis 23(2) : 254-277. URL:

Hollibaugh, G. E. 2019. The use of text as data methods in public administration: A review and an application to agency priorities. Journal of Public Administration Research and Theory 29(3): 474-490. URL:

Baden, C., Pipal, C., Schoonvelde, M. & van der Velden, M.A.G. 20212. Three gaps in computational text analysis methods for social sciences: A research agenda. Communication Methods and Measures, 16(1) : 1-18. URL:

Beelen, K., Thijm, T. A., Cochrane, C., Halvemaan, K., Hirst, G., Kimmins, M., Lijbrink, S., Marx, M., Naderi, N., Rheault, L., Polyanovsky, R. & Whyte, T. 2017. Digitization of the Canadian parliamentary debates. Canadian Journal of Political Science 50(3) : 849-864. URL:

How to Cite
Chornenkyi, O. (2022). USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES FOR POLITICAL SCIENCE RESEARCH. The Journal of V.N. Karazin Kharkiv National University. Issues of Political Science, 42, 38-44.