{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:41:24Z","timestamp":1760244084379,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T00:00:00Z","timestamp":1663113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan","award":["AP09259587","KEGA 009\u017dU-4\/2020","APVV PP-COVID-20\u20130013"],"award-info":[{"award-number":["AP09259587","KEGA 009\u017dU-4\/2020","APVV PP-COVID-20\u20130013"]}]},{"name":"Ministry of Education, Science, Research and Sport of the Slovak Republic","award":["AP09259587","KEGA 009\u017dU-4\/2020","APVV PP-COVID-20\u20130013"],"award-info":[{"award-number":["AP09259587","KEGA 009\u017dU-4\/2020","APVV PP-COVID-20\u20130013"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>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\u20132022. 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.<\/jats:p>","DOI":"10.3390\/info13090434","type":"journal-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T23:16:36Z","timestamp":1663197396000},"page":"434","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of the Correlation between Mass-Media Publication Activity and COVID-19 Epidemiological Situation in Early 2022"],"prefix":"10.3390","volume":"13","author":[{"given":"Kirill","family":"Yakunin","sequence":"first","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"},{"name":"Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty 050013, Kazakhstan"},{"name":"School of Engineering Management, Almaty Management University, Almaty 050060, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3727-043X","authenticated-orcid":false,"given":"Ravil I.","family":"Mukhamediev","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"},{"name":"Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty 050013, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4203-800X","authenticated-orcid":false,"given":"Marina","family":"Yelis","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"},{"name":"Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty 050013, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5271-9071","authenticated-orcid":false,"given":"Yan","family":"Kuchin","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"},{"name":"Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty 050013, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9974-3215","authenticated-orcid":false,"given":"Adilkhan","family":"Symagulov","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"},{"name":"Institute of Automation and Information Technology, Satbayev University (KazNRTU), Almaty 050013, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vitaly","family":"Levashenko","sequence":"additional","affiliation":[{"name":"Faculty of Management Science and Informatics, University of Zilina, 010 26 \u017dilina, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9087-0311","authenticated-orcid":false,"given":"Elena","family":"Zaitseva","sequence":"additional","affiliation":[{"name":"Faculty of Management Science and Informatics, University of Zilina, 010 26 \u017dilina, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9187-1500","authenticated-orcid":false,"given":"Margulan","family":"Aubakirov","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Maharishi International University, Fairfield, IA 52557, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadiya","family":"Yunicheva","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Muhamedijeva","sequence":"additional","affiliation":[{"name":"Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Viktors","family":"Gopejenko","sequence":"additional","affiliation":[{"name":"International Radio Astronomy Centre, Ventspils University of Applied Sciences, LV-3601 Ventspils, Latvia"},{"name":"Department of Natural Science and Computer Technologies, ISMA University of Applied Sciences, LV-1019 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8034-5935","authenticated-orcid":false,"given":"Yelena","family":"Popova","sequence":"additional","affiliation":[{"name":"Transport and Telecommunication Institute, LV-1019 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1016\/S0140-6736(14)62254-6","article-title":"Transitioning Health Systems for multimorbidity","volume":"386","author":"Atun","year":"2015","journal-title":"Lancet"},{"key":"ref_2","first-page":"70","article-title":"The category of efficiency in the health care system","volume":"4","author":"Orlov","year":"2010","journal-title":"Fundam. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/009365027600300101","article-title":"A dependency model of mass-media effects","volume":"3","author":"DeFleur","year":"1976","journal-title":"Commun. Res."},{"key":"ref_4","unstructured":"Zhanabekova, A., Darzhanova, A., Tleulesova, A., Slamgazhy, A., Toleu, A., Kislova, A., Urpekova, A., Klimchenko, A., Zhusipbek, G., and Urazova, D. (2021). Kazakhstan and COVID-19: Media, Culture, Politics. Representative Office Friedrich Ebert Foundation in Kazakhstan, DELUXE Printery."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"110962","DOI":"10.1016\/j.paid.2021.110962","article-title":"A neglected reality of mass media during COVID-19: Effect of pandemic news on individual\u2019s positive and negative emotion and psychological resilience","volume":"180","author":"Giri","year":"2021","journal-title":"Personal. Individ. Differ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1057\/s41599-020-0523-3","article-title":"Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak","volume":"7","author":"Aslam","year":"2020","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"ref_7","first-page":"171","article-title":"How people emotionally respond to the news on COVID-19: An online survey","volume":"11","author":"Hamidein","year":"2020","journal-title":"Basic Clin. Neurosci. J."},{"key":"ref_8","unstructured":"Kemp, S. (2020, October 16). Global Digital Insights. Available online: http:\/\/www.datareportal.com\/."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Mukhamediev, R.I., Symagulov, A., Kuchin, Y., Yakunin, K., and Yelis, M. (2021). From classical machine learning to Deep Neural Networks: A simplified scientometric review. Appl. Sci., 11.","DOI":"10.3390\/app11125541"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1093\/bib\/bbx044","article-title":"Deep Learning for Healthcare: Review, opportunities and challenges","volume":"19","author":"Miotto","year":"2017","journal-title":"Brief. Bioinform."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"38","DOI":"10.4103\/jpi.jpi_53_18","article-title":"Artificial intelligence and digital pathology: Challenges and opportunities","volume":"9","author":"Tizhoosh","year":"2018","journal-title":"J. Pathol. Inform."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Mukhamediev, R.I., Popova, Y., Kuchin, Y., Zaitseva, E., Kalimoldayev, A., Symagulov, A., Levashenko, V., Abdoldina, F., Gopejenko, V., and Yakunin, K. (2022). Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges. Mathematics, 10.","DOI":"10.3390\/math10152552"},{"key":"ref_13","unstructured":"(2021, September 10). The Socio-Economic Impact of AI in Healthcare. Available online: https:\/\/www.medtecheurope.org\/wp-content\/uploads\/2020\/10\/mte-ai_impact-in-healthcare_oct2020_report.pdf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1177\/0268580920914755","article-title":"COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information","volume":"35","author":"Pulido","year":"2020","journal-title":"Int. Sociol."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., and Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE, 15.","DOI":"10.2139\/ssrn.3541120"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Li, S., Wang, Y., Xue, J., Zhao, N., and Zhu, T. (2020). The impact of COVID-19 epidemic declaration on psychological consequences: A study on active weibo users. Int. J. Environ. Res. Public Heal., 17.","DOI":"10.3390\/ijerph17062032"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e175","DOI":"10.1016\/S2589-7500(20)30315-0","article-title":"What social media told us in the time of COVID-19: A scoping review","volume":"3","author":"Tsao","year":"2021","journal-title":"Lancet Digit. Health"},{"key":"ref_18","first-page":"1","article-title":"AbouHaidar, G.H.; Akl, E.A. Using media to impact health policy-making: An integrative systematic review","volume":"12","author":"Hemadi","year":"2017","journal-title":"Implement. Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.socscimed.2013.02.009","article-title":"Pandemic H1N1 in Canada and the use of evidence in developing public health policies\u2013A policy analysis","volume":"83","author":"Rosella","year":"2013","journal-title":"Soc. Sci. Med."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Bennett, W.L., Lawrence, R.G., and Livingston, S. (2007). When the Press Fails, University of Chicago Press.","DOI":"10.7208\/chicago\/9780226042862.001.0001"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"515347","DOI":"10.3389\/fpubh.2020.515347","article-title":"Automatic identification of information quality metrics in health news stories","volume":"8","author":"Evans","year":"2020","journal-title":"Front. Public Health"},{"key":"ref_22","first-page":"91","article-title":"Methods for Calculating the Relevance of Text Fragments Based on Thematic Models in the Automatic Annotation Problem","volume":"14","author":"Mashechkin","year":"2013","journal-title":"Comput. Methods Program."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"161","DOI":"10.15514\/ISPRAS-2017-29(2)-6","article-title":"A survey and an experimental comparison of methods for text clustering: Application to scientific articles","volume":"29","author":"Parhomenko","year":"2017","journal-title":"Proc. Inst. Syst. Program. RAS"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1162\/tacl_a_00325","article-title":"Topic modeling in embedding spaces","volume":"8","author":"Dieng","year":"2020","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"ref_25","first-page":"993","article-title":"Latent Dirichlet Allocation","volume":"3","author":"Blei","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Vorontsov, K., Frei, O., Apishev, M., Romov, P., and Dudarenko, M. (2015, January 9\u201311). BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections. Proceedings of the International Conference on Analysis of Images, Social Networks and Texts, Yekaterinburg, Russia.","DOI":"10.1007\/978-3-319-26123-2_36"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Mukhamediev, R.I., Yakunin, K., Mussabayev, R., Buldybayev, T., Kuchin, Y., Murzakhmetov, S., and Yelis, M. (2020). Classification of negative information on socially significant topics in mass media. Symmetry, 12.","DOI":"10.3390\/sym12121945"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Yakunin, K., Kalimoldayev, M., Mukhamediev, R.I., Mussabayev, R., Barakhnin, V., Kuchin, Y., Murzakhmetov, S., Buldybayev, T., Ospanova, U., and Yelis, M. (2021). KazNewsDataset: Single Country Overall Digital Mass Media Publication Corpus. Data, 6.","DOI":"10.3390\/data6030031"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"15169","DOI":"10.1007\/s11042-018-6894-4","article-title":"Latent dirichlet allocation (LDA) and topic modeling: Models, applications, a survey","volume":"78","author":"Jelodar","year":"2018","journal-title":"Multimed. Tools Appl."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Yakunin, K., Mukhamediev, R.I., Zaitseva, E., Levashenko, V., Yelis, M., Symagulov, A., Kuchin, Y., Muhamedijeva, E., Aubakirov, M., and Gopejenko, V. (2021). Mass media as a mirror of the COVID-19 pandemic. Computation, 9.","DOI":"10.3390\/computation9120140"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/S1473-3099(20)30120-1","article-title":"An interactive web-based dashboard to track COVID-19 in Real time","volume":"20","author":"Dong","year":"2020","journal-title":"Lancet Infect. Dis."},{"key":"ref_32","unstructured":"Yakunin, K. (2022, August 08). Media Monitoring System. Available online: https:\/\/github.com\/KindYAK\/NLPMonitor."},{"key":"ref_33","unstructured":"Yakunin, K. (2022, August 08). Airflow DAGs for NLPMonitor. Available online: https:\/\/github.com\/kindyak\/nlpmonitor-dags."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Marutho, D., Hendra Handaka, S., and Wijaya, E. (2018, January 21\u201322). Muljono The determination of cluster number at K-mean using elbow method and purity evaluation on Headline news. Proceedings of the 2018 International Seminar on Application for Technology of Information and Communication, Semarang, Indonesia.","DOI":"10.1109\/ISEMANTIC.2018.8549751"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/9\/434\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:30:54Z","timestamp":1760142654000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/9\/434"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,14]]},"references-count":34,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["info13090434"],"URL":"https:\/\/doi.org\/10.3390\/info13090434","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2022,9,14]]}}}