ISSN 2312-5160

online ISSN 2786-4502


Visit our Facebook-page

Visit our Facebook-page

Indexed in

Індексується у

Index Copernicus
Google Scolar
Maksymovych Scientific Library
Vernadsky National Library of Ukraine

Current Issues of Mass Communication, 2020, no.28, 10-27


UDC: 007:167.1:316.658

Stressogenic Elements of the Latent Impact of Real Media Reports on the COVID-19 Pandemic on Social Groups (Reporting the Methodology and Research Planning)

Full text pdf

Volodymyr Rizun(a), Yurii Havrylets(a), Alla Petrenko-Lysak(a), Sergii Tukaiev(a), Anton Popov(b), Daryna Ivaskevych(с), Yuliia Yachnik(a)

(a) Taras Shevchenko National University of Kyiv, 36/1, Yurii Illienko St., 04119 Kyiv, Ukraine,

Volodymyr Rizun’s ORCID: 0000-0002-5216-3755

Yurii Havrylets’ ORCID: 0000-0002-4899-5815

Alla Petrenko-Lysak’s ORCID: 0000-0002-1316-5002

Sergii Tukaiev’s ORCID: 0000-0002-6342-1879

Yuliia Yachnik’s ORCID: 0000-0002-4284-3626

(b) National Technical University of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”, 37, Prosp. Peremohy, Kyiv, Ukraine, 03056

Anton Popov’s ORCID: 0000-0002-1194-4424

(с) National University of Ukraine on Physical Education and Sport, 1, Physical Culture Square, Kyiv, Ukraine, 03150

Daryna Ivaskevych’s ORCID: 0000-0003-3722-5652

* Corresponding author’s e-mail address:


This article reveals the preparation for the investigation of the latent impact of media reports about COVID-19 on social groups. The research project of the Institute of Journalism, funded by the National Research Foundation of Ukraine, shows how to use media monitoring to form an experimental sample of media reports on COVID-19 as well as how to make a sociological and psychological description of the method of forming experimental groups. The purpose of this study is to form a methodological basis for experiments. We will use all this as a proven tool for organizing experiments in the subsequent stages of research. Accordingly, the search for media messages on the topic of COVID-19 by the LOOQME service showed the existence of an information boom in the media (this does not take into account the flow of messages on social networks), measured daily by tens of thousands of media messages. Undoubtedly, each person does not “digest” so much information, respectively, is not affected by it in full. Therefore, the question arises about the functioning of a human being as an interpreter of specific messages available to them, but taking into account public opinion as an interpretive filter: what people are saying and how they relate to COVID. All this is the filter that sets the vector of perception and understanding. This factor we will take into account in the following stages of the project.

KEYWORDS: media monitoring, real media messages, internal analysis, social group, COVID-19.


Abdi, A., Jalilian, M., Sarbarzeh, P. A., & Vlaisavljevic, Z. (2020, August 1). Diabetes and COVID-19: A systematic review on the current evidences. Diabetes Research and Clinical Practice, Vol. 166.

Aghagoli, G., Gallo Marin, B., Soliman, L. B., & Sellke, F. W. (2020, June 1). Cardiac involvement in COVID-19 patients: Risk factors, predictors, and complications: A review. Journal of Cardiac Surgery, Vol. 35, pp. 1302–1305.

Bello-Chavolla, O. Y., Bahena-López, J. P., Antonio-Villa, N. E., Vargas-Vázquez, A., González-Díaz, A., Márquez-Salinas, A., … Aguilar-Salinas, C. A. (2020). Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico. The Journal of Clinical Endocrinology and Metabolism, 105(8).

Cheng, Y., Luo, R., Wang, K., Zhang, M., Wang, Z., Dong, L., … Xu, G. (2020, May 1). Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney International, Vol. 97, pp. 829–838.

Gosain, R., Abdou, Y., Singh, A., Rana, N., Puzanov, I., & Ernstoff, M. S. (2020, May 1). COVID-19 and Cancer: a Comprehensive Review. Current Oncology Reports, Vol. 22.

Kumar, A., Arora, A., Sharma, P., Anikhindi, S. A., Bansal, N., Singla, V., … Srivastava, A. (2020). Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 535–545.

Madjid, M., Safavi-Naeini, P., Solomon, S. D., & Vardeny, O. (2020, July 1). Potential Effects of Coronaviruses on the Cardiovascular System: A Review. JAMA Cardiology, Vol. 5, pp. 831–840.

Palaiodimos, L., Kokkinidis, D. G., Li, W., Karamanis, D., Ognibene, J., Arora, S., … Mantzoros, C. S. (2020). Severe obesity is associated with higher in-hospital mortality in a cohort of patients with COVID-19 in the Bronx, New York. Metabolism: Clinical and Experimental, 108.

Campbell, D.(1980). Models of experiments in social psychology and hands-on research. Moscow: Progress. [In Russian]

Chekmyshev, O.V. (2011). Methods of converging studies in social communications. Kyiv: Kyiv University. [In Ukrainian]

Chekmyshev, O.V. (2012). Media monitoring in social communications system: Historical, theoretical, and pragmatic aspect. Doctor of Sciences Thesis: 27.00.01. Kyiv. [In Ukrainian]

Chudnovska, I.A. (2017). Intent-analysis as an attempt to reconstruct subtle mentral conscious structures. In K.G.Sirinyok-Dolgaryova (Ed.), Methodology of media research: Handbook (pp. 102-106). Zaporizhzhia: ZNU [In Ukrainian]

Methodology of complex monitoring of TV newscasts using database. (30.01.2019). Retrieved from: [In Ukrainian]

Rizun, V.V., Ivanov, V.F., & Shumarova, N.P. (2007). Monitoring and information modelling of media: Collective monograph. Kyiv: Kyiv University [In Ukrainian]

Ushakova, T.N. & Pavlova, N.D. (2004). Word in action: Intent-analysis of political discourse. Saint-Petersburg [In Russian]

Yadov, V.A. (1972). Social experiment – method of verifying a research hypothesis. In Social research: Methodology, program, methods. Moscow: Science. [In Russian]

Comments are closed.