Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: A Digital Topic Modeling Approach

Liu, Qian; Zheng, Zequan; Zheng, Jiabin; Chen, Qiuyi; Liu, Guan; Chen, Sihan; Chu, Bojia; Zhu, Hongyu; Akinwunmi, Babatunde; Huang, Jian; Zhang, Casper J. P.; Ming, Wai‐Kit

doi:10.1101/2020.03.29.20043547

Cited by 22 publications

(29 citation statements)

References 16 publications

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“…It is too early for drawing any conclusions, although it is clear that consequences in all areas are far reaching. A number of research projects that examine a wide spectre of phenomena, and the influence of the pandemic on a range of spheres of life and work, corroborate this claim (Liu, Q, Zheng, Z, Zheng, J. at all, 2020;Milutinović, I, 2020;Roser M, Ritchie H, Ortiz-Ospina E, Hasell J, 2020;Motta, M, Stecula, D, Farhart, Ch, 2020;Pennycook G, McPhetres J, Zhang Y, Rand G.D, 2020;La, Viet-Phuong;Pham, Thanh-Hang;Ho, Manh-Toan;Nguyen, Minh-Hoang;P. Nguyen, Khanh-Linh;Vuong, Thu-Trang;Nguyen, Hong-Kong T.;Tran, Trung;Khuc, Quy;Ho, Manh-Tung;Vuong, Quan-Hoang.…”

Section: Infodemic and The Pandemic Psychology-a New Challenge For Journalismmentioning

confidence: 85%

Media Frames of COVID-19 Pandemic

Bulatovic

2021

In medias res (Zagreb. Online)

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It has long been noticed that the problem of public information provision has shifted from collecting and selling information to protecting the public from disinformation, and to inability to follow all the information published about any topic. Media coverage in times of crisis, such as the pandemic, has revealed and heightened the extent of the problem of public information provision. In this paper, we present our belief that professional journalists have not responded well to their basic task — providing accurate, impartial, reliable and important information to the public. Instead, the media has often published information based on assumptions, emotions and views of interest to certain social groups, rather than the general public. The banning of large gatherings and events that are a common source of information, limited movement of people and journalists, focus on official sources with limited ability for data verification, extensive use of social media and general disruption of daily editorial routines, have led to the non-compliance with the core principles of journalism. Instead of facts, the media were dominated by interpretations and emotions, which, in combination with poor general media literacy, has led to the spread of fear and distrust in media and institutions. In this paper, we advocate adherence to the Guidelines of the Committee of Ministers of the Council of Europe on protecting freedom of expression and information in times of crisis (adopted in 2007), and improvement in general media literacy in society, so that the media can effectively perform their social role, and the citizens can critically evaluate information available in times of crisis.

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Section: Infodemic and The Pandemic Psychology-a New Challenge For Journalismmentioning

confidence: 85%

Media Frames of COVID-19 Pandemic

Bulatovic

2021

In medias res (Zagreb. Online)

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“…During the Covid-19 pandemic, the media primarily provided news that focused on the pandemic and its NEWS, MOOD, AND COVID-19 16 mostly negative consequences. Whilst the media can provide useful information about the pandemic such as health implications or prevention strategies (Ash et al, 2020;Liu et al, 2020), studies found that media consumption mainly predicts negative sentiments (Aslam et al, 2020;Gao et al, 2020;Johnston & Davey, 1997). This could lead to the impression that excessive media consumption such as doom scrolling always negatively affects mood during the pandemic.…”

Section: Discussionmentioning

confidence: 99%

“…But media does not only affect our behavior, but it might also impact people's well-being and could serve as a cardinal factor for influencing mood during the COVID-19 pandemic (Bao, Sun, Meng, Shier, & Lu, 2020;Liu et al, 2020). Indeed, classic studies have shown that negatively valenced information can affect and worsen viewers' mood, even resulting in catastrophizing their worries (Johnston & Davey, 1997).…”

mentioning

confidence: 99%

How do Good and Bad News Impact Mood During the Covid-19 Pandemic? The Role of Similarity

Dörnemann¹,

Boenisch²,

Schommer³

et al. 2021

Preprint

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How do media reports about the Covid-19 pandemic influence our mood? Building on the social comparison theory, we predicted that reading negative news affecting a similar group would result in an impaired mood. In contrast, reading negative news about a dissimilar group should lead to improved mood. To test this, 150 undergraduate students read positive or negative news about the well-being of a similar or dissimilar group during the pandemic. As predicted, a mood assimilation effect occurred for similar groups, whilst a contrast effect occurred for a dissimilar group. This pattern went so far that undergraduates reported the best mood after learning that the elder generation suffered from Covid-19. This finding seems worrying and calls for future research.

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“…Another problem is the implementation of a suitable strategy against the transport of diseases. One of the main tools to deal with these challenges is the mathematical modeling technique [18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review

Afzal

Saleel

Bhattacharyya

et al. 2021

Arch Computat Methods Eng

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Mathematical models have assisted in describing the transmission and propagation dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the advanced computational technique is utilized in the epidemiology of viral diseases to examine and estimate the influences of interventions and vaccinations. In March 2020, the World Health Organization (WHO) has declared the COVID-19 as a global pandemic and the rate of morbidity and mortality triggers unprecedented public health crises throughout the world. The mathematical models can assist in improving the interventions, key transmission parameters, public health agencies, and countermeasures to mitigate this pandemic. Besides, the mathematical models were also used to examine the characteristics of epidemiological and the understanding of the complex transmission mechanism. Our literature study found that there were still some challenges in mathematical modeling for the case of ecology, genetics, microbiology, and pathology pose; also, some aspects like political and societal issues and cultural and ethical standards are hard to be characterized. Here, the recent mathematical models about COVID-19 and their prominent features, applications, limitations, and future perspective are discussed and reviewed. This review can assist in further improvement of mathematical models that will consider the current challenges of viral diseases.

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Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: A Digital Topic Modeling Approach

Cited by 22 publications

References 16 publications

Media Frames of COVID-19 Pandemic

Media Frames of COVID-19 Pandemic

How do Good and Bad News Impact Mood During the Covid-19 Pandemic? The Role of Similarity

Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review

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