The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden

This thesis analyzes language structures in two opposing-views blogs related to the well-known whistleblower Edward Snowden. These opinion blogs - ‘Edward Snowden is no hero’ and ‘Why Edward Snowden is a hero’- were published in The New Yorker Magazine -online- on June 10th 2013 and they provide...

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Autor principal: Pasquale, María Romina De
Formato: Tesis
Lenguaje:Inglés
Publicado: Universidad de Belgrano - Escuela de Lenguas y Estudios Extranjeros - Licenciatura en Lengua Inglesa 2016
Materias:
Lengua Inglesa
Gramática Inglesa
Medios de comunicación
Semiología
English language
English grammar
Media
semiology
Acceso en línea:http://repositorio.ub.edu.ar:8080/handle/123456789/8277
Aporte de:
Repositorio Institucional - Universidad de Belgrano (UB) de Universidad de Belgrano
id I36-R142-123456789-8277
record_format dspace
institution Universidad de Belgrano
institution_str I-36
repository_str R-142
collection Repositorio Institucional - Universidad de Belgrano (UB)
language Inglés
topic Lengua Inglesa
Gramática Inglesa
Medios de comunicación
Semiología
English language
English grammar
Media
semiology
spellingShingle Lengua Inglesa
Gramática Inglesa
Medios de comunicación
Semiología
English language
English grammar
Media
semiology
Pasquale, María Romina De
The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
topic_facet Lengua Inglesa
Gramática Inglesa
Medios de comunicación
Semiología
English language
English grammar
Media
semiology
description This thesis analyzes language structures in two opposing-views blogs related to the well-known whistleblower Edward Snowden. These opinion blogs - ‘Edward Snowden is no hero’ and ‘Why Edward Snowden is a hero’- were published in The New Yorker Magazine -online- on June 10th 2013 and they provide an entry point to analyze the various alignment linguistic strategies for dialogic contraction used by the journalists Jeffrey Toobin and John Cassidy to generate media consensus on the Snowden case. It will also be of significance to understand how consensus is built in a liberal publication and how liberalism is re-defined in each of the blogs. For that, the notion of consensus building will be briefly addressed. Appraisal Theory (Martin and White 2005), situated within the Systemic Functional Linguistics Theory, provides the theoretical framework to qualitatively scrutinize wordings chosen by the journalists to make evaluative judgments or introduce other voices into the debate by means of dialogic heteroglossia.
format Thesis
author Pasquale, María Romina De
author_facet Pasquale, María Romina De
author_sort Pasquale, María Romina De
title The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
title_short The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
title_full The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
title_fullStr The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
title_full_unstemmed The Media as a consensus generator machine: Engagement strategies of alignment through language devices in two opposing-view liberal blogs about Edward Snowden
title_sort media as a consensus generator machine: engagement strategies of alignment through language devices in two opposing-view liberal blogs about edward snowden
publisher Universidad de Belgrano - Escuela de Lenguas y Estudios Extranjeros - Licenciatura en Lengua Inglesa
publishDate 2016
url http://repositorio.ub.edu.ar:8080/handle/123456789/8277
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