Исследование лингвистической модели политических коммуникаций в социальной сети "Twitter" в отношении президента США Д. Трампа в марте - июне 2020 г.

Abstract

The specificity of modern socio-political and linguistic changes is most clearly reflected in the function-ing of linguistic models of socio-political communication between citizens / consumers in relation to institutionalized and non-institutionalized political actors. Modern social reality is largely shaped by the influence of the Internet and social me-dia. The functional segmentation of social media is an effect of the coronavirus era. The social networking website Twitter has become a source of political content worldwide in 2019-2020. The empirical base of the study includes two sets of net-work data: the first data set (March 2020, 50,000 messages) and the second data set (June 2020, 50,000 messages) consist of network data obtained by the method of continuous unloading of messages published by Twitter users and containing the keyword “trump” through the Twitter API.

В статье рассматривается смена позитивного дискурса в отношении Д. Трампа на отрицательный, в котором превалирующими стали обсуждение протестов и резкая критика со стороны всех групп населения.