Crisis Communication Strategies in the Media Coverage of Two Korean Baseball Players’ Drunk Driving Accidents

2019 ◽  
Vol 24 (5) ◽  
pp. 1-17
Author(s):  
Seunghyeok Yang
Keyword(s):  
Crisis Communication ◽  
Media Coverage ◽  
Communication Strategies ◽  
Drunk Driving ◽  
Baseball Players ◽  
The Media

Information volunteers’ strategies in crisis communication

2016 ◽  
Vol 7 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Kurniawan Adi Saputro
Keyword(s):  
Crisis Communication ◽  
Design Methodology ◽  
Rare Case ◽  
Empirical Studies ◽  
Communication Strategies ◽  
Media Environment ◽  
Content Type ◽  
The Media

Purpose The purpose of this paper is to present a case study on the communication strategies used by the information volunteers of Jalin Merapi during the Mt. Merapi disaster in Indonesia 2010. Design/methodology/approach In all, 18 information volunteers are interviewed to find out about their strategies in organising crisis communication, and follow-up interviews are conducted with several donors and media professionals to understand the wider context. The questions cover how the information is sourced, published and verified and the reasons behind their decisions. The concept of mediated suffering helps to analyse how their strategies construct with whom, with what subject and how the media users engage with the survivors. Findings This study finds that information volunteers of Jalin Merapi focused on the overlooked survivors and issues of Mt. Merapi disaster based on their observation of the mainstream media’s coverage of the previous disaster in 2006. The needs of the refugees, rather than the availability of donor’s aid, were foregrounded to encourage the wider public to donate. And access to connect directly with the survivors was provided to enhance the efficacy of aid and to facilitate repeat donations. Research limitations/implications Further empirical studies in other disaster contexts are called for to assess whether similar or different strategies are used in participatory crisis communication. Originality/value This study presents a rare case of participatory crisis communication in a disaster. The perspective of the media audience helps situate the findings in the context of the wider media environment and in the context of collective action as often seen in response to disaster.

scholarly journals The 2018 Muslim Pilgrimage to Mecca: Application of Grunig’s Theory of Excellence Two-Way Communication Efforts to Avoid a Crisis

2019 ◽  
Vol 2 (2019) ◽  
pp. 5-8
Author(s):  
Saud Alsulaiman ◽  
Terry Rentner
Keyword(s):  
Saudi Arabia ◽  
Content Analysis ◽  
Crisis Communication ◽  
Communication Strategies ◽  
Communication Channels ◽  
Effective Management ◽  
Kingdom Of Saudi Arabia ◽  
The Media ◽  
The Government ◽  
Hajj Season

Every year, millions of Muslims converge in the Kingdom of Saudi Arabia (KSA) to perform the Hajj pilgrimage. So how does a government prepare for a potential crisis when hosting an event of this magnitude? A content analysis guided this study on crisis communication strategies taken by the Saudi government before, during, and after Hajj 2018 and how Saudi Arabia utilized the media to deliver proactive messages to ensure a successful Hajj season. The study found that the government created and built a positive image in the media through the use of effective management, preemptive messages, and multiple communication channels.

Media Representation of the Pandemic: a Metaphorical Image of War (based on American Newspapers)

2020 ◽  
Vol 1 (8) ◽  
pp. 69-83
Author(s):  
N. S. Dankova ◽  
E. V. Krekhtunova
Keyword(s):  
Critical Discourse Analysis ◽  
Media Coverage ◽  
Critical Discourse ◽  
Media Representation ◽  
Martial Law ◽  
War Zone ◽  
Mass Consciousness ◽  
The Media ◽  
Coronavirus Infection ◽  
Theoretical Foundations

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.

scholarly journals “The Looming, Crazy Stalker Coronavirus”: Fear Mongering, Fake News, and the Diffusion of Distrust

2021 ◽  
Vol 7 ◽  
pp. 237802312110247
Author(s):  
Alexandrea J. Ravenelle ◽  
Abigail Newell ◽  
Ken Cai Kowalski
Keyword(s):  
Mental Health ◽  
Media Coverage ◽  
Media Consumption ◽  
Fake News ◽  
Compensatory Control ◽  
The Media ◽  
Good For ◽  
Fear Mongering ◽  
One Year

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.

scholarly journals A multi-task approach to argument frame classification at variable granularity levels

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Philipp Heinisch ◽  
Philipp Cimiano
Keyword(s):  
Media Coverage ◽  
Important Task ◽  
Coarse Grained ◽  
Media Frames ◽  
Task Setting ◽  
Variable Level ◽  
The Media ◽  
Variable Granularity

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.

scholarly journals Personalized Cancer Medicine in the Media: Sensationalism or Realistic Reporting?

2021 ◽  
Vol 11 (8) ◽  
pp. 741
Author(s):  
Katherine Hicks-Courant ◽  
Jenny Shen ◽  
Angela Stroupe ◽  
Angel Cronin ◽  
Elizabeth F. Bair ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Media Coverage ◽  
Disease Risk ◽  
Federal Drug Administration ◽  
Personalized Cancer Medicine ◽  
The Media ◽  
Cancer Medicine ◽  
Media Reports ◽  
Personalized Cancer ◽  
Standard Tests

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.

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