“This Virus is a Common Threat to All Humans”: Discourse Representation of COVID-19 in Selected Newspaper Editorials

Existing studies on viruses with bias for COVID-19 have mainly been carried out from non-linguistic fields. Linguistics-related studies have not examined the media representation of COVID-19 since it is a recent development. This study, therefore, identifies the representational strategies, discourse structures and discourse strategies deployed by selected newspapers in representing COVID-19 and associated participants. Data were retrieved from selected COVID-19-related editorials from four purposively selected countries and continents across the world: New York Times (USA, North America), The Guardian (UK, Europe), China Daily (China, Asia) and The Punch (Nigeria, Africa), published in the early periods of the pandemic, and precisely from January 1 – March 31, 2020. Guided by aspects of van Dijk’s socio-cognitive model of critical discourse analysis on ideological discourse structures, data were quantitatively and qualitatively analysed. The newspaper editorials unusually converged to negatively represent an issue – COVID-19 – because it is largely negatively viewed by all. Ten representational strategies (like economic cankerworm, threat to humans, common enemy), six discourse strategies (like demonising, criminalising, condemnation) and twelve ideological discourse structures (like Actor Description, Authority, Burden) and different participant representations and roles (like solver, potential super spreader) were identified in the study. The newspapers largely set the agenda on the negative representation of the virus and its potential havoc on all facets of human endeavours, thereby giving emotional and informational appeal to all to join hands in earnestly silencing the epidemic. Keywords: COVID-19, media representation, newspaper editorials, discourse strategies, discourse structures

Pandemic fiction as therapeutic play: The New York Times Magazine’s The Decameron Project (2020)

This article explores the therapeutic potential of narrative fiction during a global health crisis. We focus on The Decameron Project (2020), a collection of short fiction by writers from around the world, commissioned by the New York Times Magazine. The Decameron Project references the narrative framework established by Giovanni Boccaccio in the mid-14th century, when the Black Death devastated Europe. Drawing on aspects of psychoanalytic theory and principles of bibliotherapy employed since the Middle Ages, we argue that The Decameron Project offers strategies to simultaneously confront and contain the anxious mind. Storytelling, according to both Boccaccio and to the editors of The Decameron Project, is not merely a source of distraction but a means of survival.

Out of the Lab and Into the World: Analyses of Social Roles and Gender in Profiles of Scientists in The New York Times and The Scientist

Although representations of female scientists in the media have increased over time, stereotypical portrayals of science persist. In-depth, contemporary profiles of scientists’ roles have an opportunity to reflect or to challenge stereotypes of science and of gender. We employed content and linguistic analyses to examine whether publicly available profiles of scientists from New York Times and The Scientist Magazine support or challenge pervasive beliefs about science. Consistent with broader stereotypes of STEM fields, these portrayals focused more on agency than communality. However, profiles also challenged stereotypes through integrating communality, purpose, and growth. This analysis also found similar presence of communal and agentic constructs for both female and male scientists. The current findings highlight the importance of considering counterstereotypic representations of science in the media: Communicating messages to the public that challenge existing beliefs about the culture of science may be one path toward disrupting stereotypes that dissuade talented individuals from choosing science pathways.

Open-source investigation as a genre of conflict reporting

This paper examines the role and scope of eyewitness images in open-source investigation, which is becoming a prominent genre of conflict reporting in its own right. Based on interviews with journalists at the Visual Investigations Unit at The New York Times and a textual analysis of their video reports, the paper sheds light on the paradoxical working of the genre, which simultaneously opens up and limits opportunities for eyewitness images as a platform for voice. The paper thus argues that despite the journalists’ commitment to innovation, the logics of institutions, the corporate ethos of social media platforms, and the pervasive power of geopolitics continue to shape the articulation, recognition, and agency of voice.

Predictions For COVID-19 With Deep Learning Models of Long Short-Term Memory (LSTM)

COVID-19, one of the most contagious diseases and urgent threats in recent times, attracts attention across the globe to study the trend of infections and help predict when the pandemic will end. A reliable prediction will make states and citizens acknowledge possible consequences and benefits for the policymaker among the delicate balance of reopening and public safety. This chapter introduces a deep learning technique and long short-term memory (LSTM) to forecast the trend of COVID-19 in the United States. The dataset from the New York Times (NYT) of confirmed and deaths cases is utilized in the research. The results include discussion of the potential outcomes if extreme circumstances happen and the profound effect beyond the forecasting number.