scholarly journals Panama in a Pandemic: The Digital Divide Became News

2021 ◽  
Author(s):  
Raisa Urribarri

This documentary research explores, describes, and analyzes the media coverage of the digital divide in Panama during the first six months of the COVID-19 pandemic. Based on van Dijk’s theoretical postulates, I frame the digital access gap in the context of an unequal society. The review reveals that serious asymmetries, defined by socioeconomic status and territorial division, prevail in Panama. The discontent generated by difficulties in accessing online education triggered wide coverage by the media. In most cases, however, media outlets treated this phenomenon with little explanatory depth. Given the centrality that this problem has acquired and its future implications, the paper provides recommendations in the fields of journalism, research, education, and public policy, which aim to contribute to the understanding of the digital divide and how it could be corrected.

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.


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