COVID-19 and Public Health: Analysis of Opinions in Social Media.

ABSTRACT: The article presents the results of research of public opinion during the third wave of the COVID-19 pandemic in Russia. The study touches on the attitude of citizens to public health, as well as the reaction of social media users to government measures in a crisis situation during a pandemic. Special attention is paid to the phenomenon of infodemic and methods of detecting cases of the spread of false and unverified information about diseases. The article demonstrates the application of an interdisciplinary approach using network analysis of texts and sociological research. A model for detecting social stress in the textual communication of social network users using a specially trained neural network and linguistic analysis methods is presented. The validity and validity of the results o

SUBMITTER: Raskhodchikov AN 

PROVIDER: S-EPMC9859509 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature