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Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines. / Teneva, Ekaterina V. .

Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia. 2021. (CCER).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › тезисы в сборнике материалов конференции › научная › Рецензирование

Harvard

Teneva, EV 2021, Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines. в Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia. CCER, The 1st Lekantara Annual Conference on Humanities and Arts, Jawatimur, Индонезия, 1/11/21.

APA

Teneva, E. V. (Принято в печать). Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines. в Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia (CCER).

Vancouver

Teneva EV. Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines. в Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia. 2021. (CCER).

Author

Teneva, Ekaterina V. . / Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines. Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia. 2021. (CCER).

BibTeX

@inbook{0765f6986e19477e97cb9e788ba87611,
title = "Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines",
abstract = "The study encompasses the issues of public opinion manipulation in the post-Covid era. Within the framework of the research, the author delves into the discourse analysis of the most common rhetorical devices used by journalists for implementing the emotionalisation strategy and politicizing the Covid-19 vaccines, including emotional identification with newsreaders, self-presentation as well as appeals to pseudo-authorities. The reliability of the scientific results is supported by the analysis of more than 100 news stories about the Covid-19 vaccines collected from the online versions of the British and US highly-circulated papers. The conducted study shows that emotionalisation of the news coverage of the Covid-19 vaccines is aimed at political decision-making, enhancing or discrediting the image of the vaccines and the countries, polarizing social groups and manipulating public opinion in the digital information warfare. The study promotes deeper understanding of media manipulation tools, thus helping individuals develop media literacy skills.",
author = "Teneva, {Ekaterina V.}",
year = "2021",
language = "English",
isbn = "978163190335",
series = "CCER",
booktitle = "Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia",
note = "The 1st Lekantara Annual Conference on Humanities and Arts, LeHEART ; Conference date: 01-11-2021",

}

RIS

TY - CHAP

T1 - Emotionalisation strategy in the Internet news coverage of the Covid-19 vaccines

AU - Teneva, Ekaterina V.

PY - 2021

Y1 - 2021

N2 - The study encompasses the issues of public opinion manipulation in the post-Covid era. Within the framework of the research, the author delves into the discourse analysis of the most common rhetorical devices used by journalists for implementing the emotionalisation strategy and politicizing the Covid-19 vaccines, including emotional identification with newsreaders, self-presentation as well as appeals to pseudo-authorities. The reliability of the scientific results is supported by the analysis of more than 100 news stories about the Covid-19 vaccines collected from the online versions of the British and US highly-circulated papers. The conducted study shows that emotionalisation of the news coverage of the Covid-19 vaccines is aimed at political decision-making, enhancing or discrediting the image of the vaccines and the countries, polarizing social groups and manipulating public opinion in the digital information warfare. The study promotes deeper understanding of media manipulation tools, thus helping individuals develop media literacy skills.

AB - The study encompasses the issues of public opinion manipulation in the post-Covid era. Within the framework of the research, the author delves into the discourse analysis of the most common rhetorical devices used by journalists for implementing the emotionalisation strategy and politicizing the Covid-19 vaccines, including emotional identification with newsreaders, self-presentation as well as appeals to pseudo-authorities. The reliability of the scientific results is supported by the analysis of more than 100 news stories about the Covid-19 vaccines collected from the online versions of the British and US highly-circulated papers. The conducted study shows that emotionalisation of the news coverage of the Covid-19 vaccines is aimed at political decision-making, enhancing or discrediting the image of the vaccines and the countries, polarizing social groups and manipulating public opinion in the digital information warfare. The study promotes deeper understanding of media manipulation tools, thus helping individuals develop media literacy skills.

UR - https://eudl.eu/doi/10.4108/eai.3-8-2021.2315052

M3 - Conference abstracts

SN - 978163190335

T3 - CCER

BT - Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education, LePALISSHE 2021, August 3, 2021, Malang, Indonesia

T2 - The 1st Lekantara Annual Conference on Humanities and Arts

Y2 - 1 November 2021

ER -

ID: 95531670