Money Can't Buy Me Love: Does Investors' Preference Towards Dividends Depend on the Media Coverage of Company CEO?

2008 ◽  
Author(s):  
Rayna May Brown ◽  
Edward Lee ◽  
Konstantinos Stathopoulos
Keyword(s):  
Media Coverage ◽  
The Media

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.

Media Coverage and Solidarity after Tragedies: The Reporting of School Shootings in Two Nations

2012 ◽  
Vol 11 (6) ◽  
pp. 845-874 ◽  
Author(s):  
James Hawdon ◽  
James Hawdon ◽  
Atte Oksanen ◽  
James Hawdon ◽  
Atte Oksanen ◽  
...  
Keyword(s):  
New York ◽  
Media Coverage ◽  
New York Times ◽  
Virginia Tech ◽  
School Shootings ◽  
Considerable Research ◽  
National Comparison ◽  
The Media ◽  
Insight Into ◽  
Cross National

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.

China's Newsmakers: Official Media Coverage and Political Shifts in the Xi Jinping Era

2017 ◽  
Vol 233 ◽  
pp. 111-136 ◽  
Author(s):  
Kyle Jaros ◽  
Jennifer Pan
Keyword(s):  
Text Analysis ◽  
Media Coverage ◽  
Past Research ◽  
Early Years ◽  
Xi Jinping ◽  
Political Actors ◽  
Party Organizations ◽  
Automated Text Analysis ◽  
The Media ◽  
Party Dominance

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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