scholarly journals Racismo no futebol

2021 ◽  
Vol 10 (2) ◽  
pp. 152-165
Author(s):  
Izadora Silva Pimenta

PT. O presente artigo tem como objetivo analisar os Julgamentos (Martin e White, 2005) presentes no discurso midiático a respeito de um caso de racismo sofrido pelo jogador Daniel Alves em 2014, à época, no Barcelona. A análise foi feita a partir do fragmento de um corpus coletado em minha pesquisa de mestrado (Pimenta, 2019), compilado com a plataforma Sketch Engine a partir de 65 artigos de hard news sobre o tema, publicados de forma online no Brasil, totalizando 21.387 formas, 1.014 sentenças e 25.127 palavras. Para os trechos analisados neste artigo, considera-se apenas os trechos das notícias nos quais a voz do repórter está sendo utilizada em primeiro plano. A análise é realizada a partir da Linguística Sistêmico-Funcional (Halliday e Matthiessen, 2014) e do Sistema de Avaliatividade (Martin e White, 2005), a partir dos quais a linguagem é visualizada como um sistema sociossemiótico, ou seja, entende-se que a comunicação se dá por um sistema, sendo ele repleto de significados de cunhos sociais e culturais. O trabalho também se baseia na hipótese de que as hard news nunca são neutras (White, 2003) e, portanto, passíveis da presença de significados avaliativos ao longo do texto. Para compreender o contexto no qual as notícias estão sendo relatadas, há ainda uma compreensão inicial sobre alguns preceitos das relações raciais no Brasil e no futebol. Os resultados mostram que a linguagem utilizada pelo discurso midiático opera como fator de reforço para padrões de representação sobre o racismo no futebol e seus aspectos presentes na sociedade brasileira. Uma vez em que o racismo é base para as formas de desigualdade e violência dessa sociedade (Almeida, 2019), é possível observar que a presença deste na estrutura se mostra visível na linguagem em uso. Os dados obtidos nesta pesquisa oferecem, ainda, um desenho para uma metodologia de análise de aspectos sociológicos do esporte e do racismo como ideologia vigente por meio da linguagem intrínseca. *** EN. This article analyzes the judgments (Martin and White, 2005) developed in the media coverage of a case of racial discrimination experienced by Brazilian Daniel Alves in 2014, at the time playing for the FC Barcelona. The analysis is based on a segment of a corpus compiled as part of a master's research (Pimenta, 2019) using the platform Sketch Engine. The corpus is composed of 65 hard news articles published online in Brazilian media, which break down into 21,387 forms, 1,014 sentences and 25,127 words. The analysis focuses exclusively on extracts in which the journalist’s position is made clear. Research methodology is based on systemic-functional linguistics (Halliday and Matthiessen, 2014) and appraisal theory (Martin and White, 2005), which consider language as a socio-semiotic system loaded with social and cultural meanings, through which communication occurs. The research is based on the hypothesis that hard news is never neutral (White, 2003). On the contrary, hard news articles include an evaluative dimension throughout the reports. Understanding some of the precepts of race relations in Brazil and in soccer is central to better understant the context in which the news is reported. Results of the analysis show that the language produced by media coverage reinforces standards of race representation in soccer, which is part of the larger racial discrimination dynamics that characterize contemporary Brazilian society. The language used by the media indeed illustrates how racial discrimination is a root cause of inequality and violence in Brazilian society today (Almeida, 2019). Based on the data collected, a methodological model of analysis was developed through language and its intrinsic features, allowing to reveal specific sociological aspects of sports and racial discrimination, which still today remains a dominant ideology. *** FR. Cet article analyse les jugements (Martin et White, 2005) présents dans le discours médiatique autour d’un cas de racisme subi par le Brésilien Daniel Alves en 2014, à l’époque joueur du FC Barcelone. L'analyse se penche sur une partie d’un corpus plus large compilé dans le cadre d’une recherche de master (Pimenta, 2019) à l’aide de la plateforme Sketch Engine. Ce corpus de 65 articles de hard news sur le sujet, publiés en ligne dans des médias brésiliens, est constitué de 21 387 formes, 1 014 phrases et 25 127 mots. L’analyse porte uniquement sur les extraits où la voix du journaliste apparait au premier plan. L’apport méthodologique repose sur la linguistique systémique-fonctionnelle (Halliday et Matthiessen, 2014) et sur la théorie de l’évaluation (Martin et White, 2005), où le langage est perçu comme un système socio-sémiotique chargé de significations de natures sociale et culturelle, au travers duquel se réalise la communication. Notre étude part de l'hypothèse que les hard news ne sont jamais neutres (White, 2003). Bien au contraire, elles sont sujettes à la présence de significations évaluatives tout au long du texte. Ainsi, pour appréhender le contexte dans lequel sont rapportées les informations d’actualité, il importe également de comprendre certains préceptes des relations raciales au Brésil et dans le football. Les résultats montrent que le langage produit par le discours médiatique renforce les standards de représentation du racisme dans le football et les aspects de ce racisme qui caractérisent la société brésilienne. En effet, le langage des médias illustre bien le fait que le racisme est à la base des formes d'inégalité et de violence de cette société (Almeida, 2019). A partir des données recueillies, nous avons pu construire un modèle méthodologique d'analyse, par le biais du langage et des traits qui lui sont intrinsèques, capable de révéler certains aspects sociologiques du sport et du racisme, qui s’avèrent constituer l'idéologie dominante. ***

Societies ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 45
Author(s):  
Paula-Manuela Cengiz ◽  
Leena Eklund Karlsson

Media coverage can affect audiences’ perceptions of immigrants, and can play a role in determining the content of public policy agendas, the formation of prejudices, and the prevalence of negative stereotyping. This study investigated the way in which immigrants are represented in the Danish media, which terms are used, what issues related to immigrants and immigration are discussed and how they are described, and whose voices are heard. The data consisted of media articles published in the two most widely read Danish newspapers in 2019. Inductive qualitative content analysis was conducted. The portrayal of immigrants was generally negative. Overall, immigrants were portrayed as economic, cultural and security threats to the country. The most salient immigrant groups mentioned in the media were non-Westerners, Muslims, and people ‘on tolerated stay’. Integration, xenophobia and racial discrimination were the three immigrant-related issues most frequently presented by the media. The media gave voice mainly to politicians and immigrant women. The material showed that Danes have a strong affinity for ‘Danishness’, which the papers explained as a major barrier to the integration and acceptance of immigrants in Denmark.


2020 ◽  
Vol 1 (8) ◽  
pp. 69-83
Author(s):  
N. S. Dankova ◽  
E. V. Krekhtunova

The article is devoted to the study of the media representation features of the situation of coronavirus infection spread. The material was articles published in American newspapers. It is shown that the metaphorical model "War" is widely used in media coverage of the pandemic. The relevance of the work is due to the ability of the media to influence the mass consciousness. The methodological basis of the research is formed by critical discourse analysis, which establishes the connection between language and social reality. The article provides an overview of works devoted to the study of metaphor. The theoretical foundations for the study of metaphorical modeling are given. In the course of the analysis, the linguistic means of updating the metaphorical model "War" were revealed. The authors note that this metaphorical model is represented by such frames as “War and its characteristics”, “Participants in military action”, “War zone”, “Enemy actions”, “Confronting the enemy”. It is shown that modern reality is presented in the media as martial law, the coronavirus is positioned in the media as a cruel and merciless enemy seeking to take over the world, the treatment of the disease is represented as a fight against the enemy. It is concluded that the use of the metaphorical model "War" is one of the ways to conceptualize the spread of coronavirus.


2021 ◽  
Vol 7 ◽  
pp. 237802312110247
Author(s):  
Alexandrea J. Ravenelle ◽  
Abigail Newell ◽  
Ken Cai Kowalski

The authors explore media distrust among a sample of precarious and gig workers interviewed during the COVID-19 pandemic. Although these left-leaning respondents initially increased their media consumption at the outset of the pandemic, they soon complained of media sensationalism and repurposed a readily available cultural tool: claims of “fake news.” As a result, these unsettled times have resulted in a “diffusion of distrust,” in which an elite conservative discourse of skepticism toward the media has also become a popular form of compensatory control among self-identified liberals. Perceiving “fake news” and media sensationalism as “not good” for their mental health, respondents also reported experiencing media burnout and withdrawing from media consumption. As the pandemic passes its one-year anniversary, this research has implications for long-term media coverage on COVID-19 and ongoing media trust and consumption.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Philipp Heinisch ◽  
Philipp Cimiano

Abstract Within the field of argument mining, an important task consists in predicting the frame of an argument, that is, making explicit the aspects of a controversial discussion that the argument emphasizes and which narrative it constructs. Many approaches so far have adopted the framing classification proposed by Boydstun et al. [3], consisting of 15 categories that have been mainly designed to capture frames in media coverage of political articles. In addition to being quite coarse-grained, these categories are limited in terms of their coverage of the breadth of discussion topics that people debate. Other approaches have proposed to rely on issue-specific and subjective (argumentation) frames indicated by users via labels in debating portals. These labels are overly specific and do often not generalize across topics. We present an approach to bridge between coarse-grained and issue-specific inventories for classifying argumentation frames and propose a supervised approach to classifying frames of arguments at a variable level of granularity by clustering issue-specific, user-provided labels into frame clusters and predicting the frame cluster that an argument evokes. We demonstrate how the approach supports the prediction of frames for varying numbers of clusters. We combine the two tasks, frame prediction with respect to media frames categories as well as prediction of clusters of user-provided labels, in a multi-task setting, learning a classifier that performs the two tasks. As main result, we show that this multi-task setting improves the classification on the single tasks, the media frames classification by up to +9.9 % accuracy and the cluster prediction by up to +8 % accuracy.


2021 ◽  
Vol 11 (8) ◽  
pp. 741
Author(s):  
Katherine Hicks-Courant ◽  
Jenny Shen ◽  
Angela Stroupe ◽  
Angel Cronin ◽  
Elizabeth F. Bair ◽  
...  

Background: Given that media coverage can shape healthcare expectations, it is essential that we understand how the media frames “personalized medicine” (PM) in oncology, and whether information about unproven technologies is widely disseminated. Methods: We conducted a content analysis of 396 news reports related to cancer and PM published between 1 January 1998 and 31 December 2011. Two coders independently coded all the reports using a pre-defined framework. Determination of coverage of “standard” and “non-standard” therapies and tests was made by comparing the media print/broadcast date to the date of Federal Drug Administration approval or incorporation into clinical guidelines. Results: Although the term “personalized medicine” appeared in all reports, it was clearly defined only 27% of the time. Stories more frequently reported PM benefits than challenges (96% vs. 48%, p < 0.001). Commonly reported benefits included improved treatment (89%), prediction of side effects (30%), disease risk prediction (33%), and lower cost (19%). Commonly reported challenges included high cost (28%), potential for discrimination (29%), and concerns over privacy and regulation (21%). Coverage of inherited DNA testing was more common than coverage of tumor testing (79% vs. 25%, p < 0.001). Media reports of standard tests and treatments were common; however, 8% included information about non-standard technologies, such as experimental medications and gene therapy. Conclusion: Confusion about personalized cancer medicine may be exacerbated by media reports that fail to clearly define the term. While most media stories reported on standard tests and treatments, an emphasis on the benefits of PM may lead to unrealistic expectations for cancer genomic care.


2012 ◽  
Vol 11 (6) ◽  
pp. 845-874 ◽  
Author(s):  
James Hawdon ◽  
James Hawdon ◽  
Atte Oksanen ◽  
James Hawdon ◽  
Atte Oksanen ◽  
...  

Abstract Although considerable research analyzes the media coverage of school shootings, there is a lack of cross-national comparative studies. Yet, a cross-national comparison of the media coverage of school shootings can provide insight into how this coverage can affect communities. Our research focuses on the reporting of the school shootings at Virginia Tech in the U.S. and Jokela and Kauhajoki in Finland. Using 491 articles from the New York Times and Helsingin Sanomat published within a month of each shooting we investigate how reports vary between the nations and among the tragedies. We investigate if one style of framing a tragedy, the use of a “tragic frame,” may contribute to differences in the communities’ response to the events.


2017 ◽  
Vol 233 ◽  
pp. 111-136 ◽  
Author(s):  
Kyle Jaros ◽  
Jennifer Pan

AbstractXi Jinping's rise to power in late 2012 brought immediate political realignments in China, but the extent of these shifts has remained unclear. In this paper, we evaluate whether the perceived changes associated with Xi Jinping's ascent – increased personalization of power, centralization of authority, Party dominance and anti-Western sentiment – were reflected in the content of provincial-level official media. As past research makes clear, media in China have strong signalling functions, and media coverage patterns can reveal which actors are up and down in politics. Applying innovations in automated text analysis to nearly two million newspaper articles published between 2011 and 2014, we identify and tabulate the individuals and organizations appearing in official media coverage in order to help characterize political shifts in the early years of Xi Jinping's leadership. We find substantively mixed and regionally varied trends in the media coverage of political actors, qualifying the prevailing picture of China's “new normal.” Provincial media coverage reflects increases in the personalization and centralization of political authority, but we find a drop in the media profile of Party organizations and see uneven declines in the media profile of foreign actors. More generally, we highlight marked variation across provinces in coverage trends.


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