The humanities and social science

2021 Issue №2

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Development of the auto­ma­tic system based on the three-factor communication model for the extrac­tion and classification of the comments in social media

Pages
99-110

Abstract

The paper aims at examining the main communication strategies used by those involved into risk communication on the governmental regulations on the management of the adverse aftermaths of the crises (on the case of COVID-19 pandemics). In order to extract and classify the set of comments, a three-factor model was developed to classify the texts and comments through S. Hall’s 'encoding/decoding' model, N. Luhmann’s functional subsystems theory, and communicational strategies' types. Using tools for the automa­tized data extraction we got the texts (76.000) and comments (1.500.000) samples and developed a neural network classifying the texts decoding re­gimes during its interpretation. The approach developed by authors both al­lows to consider the issues, and the 'measures/statements — reactions' model, it helps to examine broader set of governmental measures and statements, us­ers' reactions and analyze texts in the Russian language.