Conditional transparency: Differentiated news framings of COVID-19 severity in the pre-crisis stage in China

Stigmatizing Monkeypox and COVID-19: A Comparative Framing Study of The Washington Post's Online News

BACKGROUND

Stigma relating to health can result in a broad range of vulnerabilities and risks for patients and healthcare providers. The media play a role in people's understanding of health, and stigma is socially constructed through many communication channels, including media framing. Recent health issues affected by stigma include monkeypox and COVID-19.

OBJECTIVES

This research aimed to examine how The Washington Post (WP) framed the stigma around monkeypox and COVID-19. Guided by framing theory and stigma theory, online news coverage of monkeypox and COVID-19 was analyzed to understand the construction of social stigma through media frames.

METHODS

This research used qualitative content analysis to compare news framings in The Washington Post's online news coverage of monkeypox and COVID-19.

RESULTS

Using endemic, reassurance, and sexual-transmission frames, The Washington Post predominantly defined Africa as the source of monkeypox outbreaks, indirectly labeled gays as a specific group more likely to be infected with monkeypox, and emphasized that there was no need to worry about the spread of the monkeypox virus. In its COVID-19 coverage, The Washington Post adopted endemic and panic frames to describe China as the source of the coronavirus and to construct an image of panic regarding the spread of the virus.

CONCLUSIONS

These stigma discourses are essentially manifestations of racism, xenophobia, and sexism in public health issues. This research confirms that the media reinforces the stigma phenomenon in relation to health through framing and provides suggestions for the media to mitigate this issue from a framing perspective.

Intermedia Agenda Setting amid the Pandemic: A Computational Analysis of China's Online News

Based on Intermedia Agenda Setting (IAS), the current study examines how official media and semi-privatized commercial media on the Weibo platform covered the COVID-19 pandemic in China. Both supervised machine learning and time series analysis were employed to analyze 350,059 Weibo posts released by 3,883 news sources between December 2019 and April 2020. Our results indicated that, in this nonwestern state-regulated China media environment, official and semi-privatized commercial media had a significant reciprocal relationship in news coverage. Both of them focused on "treatment on patients," "work resumption," and "propaganda and mobilization." Importantly, this paper sheds light on the value of the fine-grained level of agenda in IAS research. Using a fine-grained analysis, we separately investigated the effects of official and semi-privatized commercial media on predicting the pandemic prevalence, referring to the number of confirmed cases reported in real time. Implications and future directions were further discussed.

What makes an online help-seeking message go far during the COVID-19 crisis in mainland China? A multilevel regression analysis

Various studies have explored the underlying mechanisms that enhance the overall reach of a support-seeking message on social media networks. However, little attention has been paid to an under-examined structural feature of help-seeking message diffusion, information diffusion depth, and how support-seeking messages can traverse vertically into social media networks to reach other users who are not directly connected to the help-seeker. Using the multilevel regression to analyze 705 help-seeking posts regarding COVID-19 on Sina Weibo, we examined sender, content, and environmental factors to investigate what makes help-seeking messages traverse deeply into social media networks. Results suggested that bandwagon cues, anger, instrumental appeal, and intermediate self-disclosure facilitate the diffusion depth of help-seeking messages. However, the effects of these factors were moderated by the epidemic severity. Implications of the findings on support-seeking behavior and narrative strategies on social media were also discussed.