scholarly journals The media and the coup leader: Sitiveni Rabuka

2005 ◽  
Vol 11 (2) ◽  
pp. 227-232
Author(s):  
Anthony Mason

Brigadier-General Sitiveni Rabuka, the former prime minister of Fiji who gained notoriety for staging twin coups in 1987, has enjoyed a love-hate relationship with the Fiji and Pacific media for almost two decades. University of Canberra PhD student, Anthony Mason, interviewed Rabuka in the course of his research into Australian media coverage of the coups. He also interviewed the former editor of The Fiji Times, Vijendra Kumar. Pacific Journalism Review is publishing the transcripts of these interviews, where both Rabuka and Kumar reflect on the May 1987 coup and its aftermath—helping to put the May 2000 coup into perspective.

Author(s):  
Tracy-Ann Johnson-Myers

Abstract This study raises questions about how Jamaica’s first female prime minister, Portia Simpson-Miller, was portrayed in the media. This will be done through content analysis of editorial cartoons, covering the period in which Mrs Simpson-Miller occupied the highest public office in the country. An interesting finding from the study is that, unlike many female political leaders, media coverage of Simpson-Miller focused primarily on her performance as prime minister of Jamaica and less on her physical appearance and gender. The findings from this study will add to the wider discourse on the media’s portrayal of women in politics.


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.


Author(s):  
Patrick Weller

Prime ministers are the key campaigners for their governments, not just in electoral campaigns, but every day and in every place. Media management has become a continuing and significant part of the prime ministers’ activities; it is a daily, indeed an hourly, pressure. Speeches have to be planned. The pressure has changed the tone and priorities of governing. It has dangers as well as benefits. Media demands have become more immediate, more continuous, and more intrusive. Prime ministers must respond. The same technical changes allow prime ministers to interact with their voters in a way that bypasses journalists and other intermediaries. They are writ large in campaigns. They are never out of mind or out of sight. Re-election is always a consideration for tactics and strategy. The public leader, the ‘rhetorical prime minister’, is shaped by the demands of the media and organized by the technological capacity.


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.


2021 ◽  
pp. 194016122110226
Author(s):  
Ayala Panievsky

As populist campaigns against the media become increasingly common around the world, it is ever more urgent to explore how journalists adopt and respond to them. Which strategies have journalists developed to maintain the public's trust, and what may be the implications for democracy? These questions are addressed using a thematic analysis of forty-five semistructured interviews with leading Israeli journalists who have been publicly targeted by Israel's Prime Minister, Benjamin Netanyahu. The article suggests that while most interviewees asserted that adherence to objective reporting was the best response to antimedia populism, many of them have in fact applied a “strategic bias” to their reporting, intentionally leaning to the Right in an attempt to refute the accusations of media bias to the Left. This strategy was shaped by interviewees' perceived helplessness versus Israel's Prime Minister and his extensive use of social media, a phenomenon called here “the influence of presumed media impotence.” Finally, this article points at the potential ramifications of strategic bias for journalism and democracy. Drawing on Hallin's Spheres theory, it claims that the strategic bias might advance Right-wing populism at present, while also narrowing the sphere of legitimate controversy—thus further restricting press freedom—in the future.


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