Analysis of the Correlation between Mass-Media Publication Activity and COVID-19 Epidemiological Situation in Early 2022
Yakunin K. Mukhamediev R.I. Yelis M. Kuchin Y. Symagulov A. Levashenko V. Zaitseva E. Aubakirov M. Yunicheva N. Muhamedijeva E. Gopejenko V. Popova Y.
September 2022MDPI
Information (Switzerland)
2022#13Issue 9
The paper presents the results of a correlation analysis between the information trends in the electronic media of Kazakhstan and indicators of the epidemiological situation of COVID-19 according to the World Health Organization (WHO). The developed method is based on topic modeling and some other methods of processing natural language texts. The method allows for calculating the correlations between media topics, moods, the results of full-text search queries, and objective WHO data. The analysis of the results shows how the attitudes of society towards the problems of COVID-19 changed from 2021–2022. Firstly, the results reflect a steady trend of decreasing interest of electronic media in the topic of the pandemic, although to an unequal extent for different thematic groups. Secondly, there has been a tendency to shift the focus of attention to more pragmatic issues, such as remote learning problems, remote work, the impact of quarantine restrictions on the economy, etc.
COVID-19 , mass media , natural language processing , topic modeling
Text of the article Перейти на текст статьи
Institute of Information and Computational Technologies, Almaty, 050010, Kazakhstan
Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty, 050013, Kazakhstan
School of Engineering Management, Almaty Management University, Almaty, 050060, Kazakhstan
Faculty of Management Science and Informatics, University of Zilina, Žilina, 010 26, Slovakia
Department of Information Technology, Maharishi International University, Fairfield, 52557, IA, United States
International Radio Astronomy Centre, Ventspils University of Applied Sciences, Ventspils, LV-3601, Latvia
Department of Natural Science and Computer Technologies, ISMA University of Applied Sciences, Riga, LV-1019, Latvia
Transport and Telecommunication Institute, Riga, LV-1019, Latvia
Institute of Information and Computational Technologies
Institute of Automation and Information Technology
School of Engineering Management
Faculty of Management Science and Informatics
Department of Information Technology
International Radio Astronomy Centre
Department of Natural Science and Computer Technologies
Transport and Telecommunication Institute
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026