scholarly journals EXTENSIVENESS OF VICTIMS AND PERCEPTUAL INTENSITY OF COVID-19 IN VISUAL EXPERIENCES OF THE NEW YORK TIMES AND FOLHA DE S.PAULO

2021 ◽  
Vol 17 (1) ◽  
pp. 152-177
Author(s):  
Kati Eliana Caetano

This article examines the objective and quantifiable data conversion in visual and syncretic discursive forms aimed at mobilizing experiences of the conveyed senses. In addition to making the invisible visible, what is proposed here is to make the unspeakable visible by analyzing the overdetermination of the effect of intensity, proximity, and presence on news content. To achieve this goal this paper uses empirical data obtained from infographics printed in The New York Times (NYT) and Folha de S.Paulo newspapers on the covid-19 pandemic. This was chosen because the objective data in numbers and figures affect how true opinion is shaped and the infographics were recurrently employed (during our research period) by all media as an effective mechanism for understanding the facts. The empirical methodology is anchored in the perspective of tension semiotics that provides theoretical foundations for studying the sensitive dimension of interactional processes.

Temática ◽  
2017 ◽  
Vol 13 (11) ◽  
Author(s):  
Maria Aparecida Ramos da Silva ◽  
Isa De Oliveira Teixeira

Este artigo objetiva analisar a relação entre o Brasil e a violência retratada pelo website do jornal The New York Times, tendo como contexto os jogos da Rio 2016. Considerando a questão da violência como um estereótipo frequentemente relacionado ao Brasil pelo imaginário estrangeiro. Enquanto metodologia foi adotada a análise de conteúdo com base nos conceitos de Laurence Bardin, que guiaram para a conclusão de que a publicação de Nova Iorque ao invés de trazer novos conceitos que alterassem a genérica visão estrangeira sobre o país reforçou o velho estereótipo de um Brasil violento.Palavras-chave: Brasil. Violência. The New York Times. Rio 2016. Estereótipo


1946 ◽  
Vol 10 (4) ◽  
pp. 540 ◽  
Author(s):  
Martin Kriesberg

2021 ◽  
pp. 073953292110135
Author(s):  
Kirstie Hettinga ◽  
Elizabeth Smith

The New York Times “streamlined” its editing process in 2017 and reduced the editing staff by nearly half. Through content analysis on corrections (N = 1,149), this research examines the effects of these cuts. Analysis revealed the Times published more corrections before the changes, but that corrections appeared more quickly after the original error occurred and there were more corrections for content in the A section following the staffing cuts. The A section includes national and international news and thus often contains political content, which is rife for heightened scrutiny in an age of media distrust. Practical and theoretical implications are discussed.


2021 ◽  
pp. 174804852098744
Author(s):  
Ke Li ◽  
Qiang Zhang

Media representations have significant power to shape opinions and influence public response to communities or groups around the world. This study investigates media representations of Islam and Muslims in the American media, drawing upon an analysis of reports in the New York Times over a 17-year period (from Jan.1, 2000 to Dec. 31, 2016) within the framework of Critical Discourse Analysis. It examines how Islam and Muslims are represented in media coverage and how discursive power is penetrated step by step through such media representations. Most important, it investigates whether Islam and Muslims have been stigmatized through stereotypes, prejudice, and discrimination. The findings reveal that the New York Times’ representations of Islam and Muslims are negative and stereotypical: Islam is stereotyped as the unacclimatized outsider and the turmoil maker and Muslims as the negative receiver. The stereotypes contribute to people’s prejudice, such as Islamophobia from the “us” group and fear of the “them” group but do not support a strong conclusion of discrimination.


Politics ◽  
2021 ◽  
pp. 026339572110129
Author(s):  
Federico Mor ◽  
Erin J Nash ◽  
Fergus Green

We build on the work by Peled and Bonotti to illuminate the impact of linguistic relativity on democratic debate. Peled and Bonotti’s focus is on multilingual societies, and their worry is that ‘unconscious epistemic effects’ can undermine political reasoning between interlocutors who do not share the same native tongue. Our article makes two contributions. First, we argue that Peled and Bonotti’s concerns about linguistic relativity are just as relevant to monolingual discourse. We use machine learning to provide novel evidence of the linguistic discrepancies between two ideologically distant groups that speak the same language: readers of Breitbart and of The New York Times. We suggest that intralinguistic relativity can be at least as harmful to successful public deliberation and political negotiation as interlinguistic relativity. Second, we endorse the building of metalinguistic awareness to address problematic kinds of linguistic relativity and argue that the method of discourse analysis we use in this article is a good way to build that awareness.


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