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Online Verbalization of Personal Assessment: English-Language Twitter Reactions in the Protest Political Discourseстатья
Дата последнего поиска статьи во внешних источниках: 13 января 2021 г.
- Авторы: GABRIELOVA Elena V., ZHELTUKHINA Marina R., SLYSHKIN Gennady G., SHIRYAEVA Oksana V., VOLSKAYA Nadezhda N., Сурикова Т.И.
- Журнал: Astra Salvensis
- Номер: 1
- Год издания: 2020
- Издательство: Transilvanian Association for the Literarure and Culture of Romanian People (ASTRA)
- Местоположение издательства: Romania
- Первая страница: 403
- Последняя страница: 423
- Аннотация: The paper studies the verbalisation of internet users’ personal assessment as a wayof affecting public opinion. The authors consider the linguistic means used by the English-speaking internetusers of Twitter for expression of their opinion regarding the US Tea Party movement in 2009. As thesource of the language material, the authors chose the Twitter social network. The advantages of themicroblog as the source of material for the linguistic analysis include the opportunity of selecting thematerial according to the set parameters (date, topic, and addressers), the completeness and reliability ofthe sampling, the linguistic diversity for the analysis, the reliability and openness of the text messages. Thebase for studying the linguistic peculiarities in this paper is the content-analysis of the tweets gathers forthe period from February till April 2009. The processing of the collected material was performed usingthe Atlas.ti software. The authors defined the thematic dominants of the expressions and the expressivemeans as the markers of the personal opinion of Internet users. The results of the conducted researchpresented as the diagram illustrate the way for the English-speaking Tweeter users' opinions expressionregarding a significant theme of the protest movement for the society and political world. The analysis ofthe data allows at some themes of the messages were expressed explicitly, however, the critical estimatetowards the government and the president of the country were implicated using the linguistic means. Basedon the obtained results, the authors of the paper find the answer to the following question: what is the wayfor the microblog users to affect the opinions of each other through the linguistic expressive means andunder the conditions of the text limit of the message down to 140 symbols (as of 2009). The research scientists come to the conclusion that the language estimate is met on Twitter as both positive and negative.Its implicit or explicit expression is achieved through the use of stylistic and syntactic tricks, such asmetaphor, comparison, epithet, exclamation, irony, quotations, rhetoric question, and allusion. Specialattention here is paid to the study of the interrogative structures as a way of explication or implication ofpersonal opinion.
- Добавил в систему: Вольская Надежда Николаевна