From Crisis to Nationalism?

Wang, Zhongyuan

doi:10.1007/s41111-020-00169-8

Cited by 40 publications

(14 citation statements)

References 32 publications

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“…There has been a sudden spurt of academic studies cutting across various domains of knowledge on the factors contributing to the increase of COVID-19 pandemic cases, transmissions and deaths. These studies mainly focus on the following: spatial effects of COVID-19 (Guliyev 2020); effects on temperature and humidity variations in the number of COVID-19 deaths (Ma et al 2020;Wu et al 2020;Qi et al 2020); environmental impacts on COVID-19 transmission (Xu et al 2020); air pollution and COVID-19 infection (Yongjian et al 2020;Bontempi 2020); maternal deaths due to COVID-19 (Hantoushzadeh et al 2020); association between the COVID-19 cases and deaths (Sarkodie and Owusu 2020); COVID-19 and stock market volatility (Sreenu and Pradhan 2022); COVID-19 and microfinance institutions (Sangwan et al 2021); social distancing and COVID-19 death (Conyon et al 2020); labour mobility and fatality due to COVID-19 (Wright et al 2020); nationalism and COVID-19 (Wang 2021;Gülseven 2021;Zhao 2021;Pan and Korolev 2021;Lin 2021;Givens and Mistur 2021;Yang and Chen 2021;Zhao 2021;Boylan et al 2021;Albertoni and Wise 2021;He and Chen 2021); global politics and COVID-19 (Salvati 2021;Makarychev and Romashko 2021;Chen 2021; Wang and Sun 2021;Lin 2021;Huang 2021;Chang 2021;Jaworsky and Qiaoan 2021;Caballero-Anthony and Gong 2021); mitigating measures against COVID-19 (Zhang et al 2021;Ullah et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Magnitude and Determinants of Mortalities Related to COVID-19: Evidence from 94 Countries Using Regression Techniques

Pradhan

Thomas

Rout

et al. 2022

Fudan J. Hum. Soc. Sci.

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This study attempts to investigate the factors determining COVID-19 deaths during the pandemic across countries by employing a rich dataset sourced from 94 countries updated till 6 February, 2022. For empirical analysis, the study makes use of cross-sectional linear regression technique in the first part and after required diagnostic tests use 2SLS regression technique for correcting possible endogeneity bias in the second part. Findings from the study indicate that factors like total reported cases, population size, population over 70 years of age, extreme poverty, and human development index play significant role in determining COVID-19-related death. Further, to check the robustness of the findings the present study employed LASSO regression. Findings from the study highlight the possibility of government intervention to devise appropriate policies to control COVID-related incidence and death.

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Section: Introductionmentioning

confidence: 99%

Magnitude and Determinants of Mortalities Related to COVID-19: Evidence from 94 Countries Using Regression Techniques

Pradhan

Thomas

Rout

et al. 2022

Fudan J. Hum. Soc. Sci.

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“…While more cosmopolitically oriented elite actors—which are evidently overrepresented in most Twitter samples—practice transnational communication, the majority of users is still oriented toward the mainstream media and their national media logic. Moreover, not only are general social connectedness and media publics inherently structured along national lines, but the patterns observable in crisis management even across Europe have been critically discussed as exhibiting regrettable forms of neo-nationalism (Wang, 2021 ). Related to this discussion, it is important to keep in mind that especially political decisions on stringent measures have affected societies across the world at different times and to a different extent over the course of the pandemic.…”

Section: Hypothesesmentioning

confidence: 99%

Leveraging Dynamic Heterogeneous Networks to Study Transnational Issue Publics. The Case of the European COVID-19 Discourse on Twitter

Schünemann

Brand²,

König³

et al. 2022

Front. Sociol.

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The ongoing COVID-19 pandemic constitutes a critical phase for the transnationalization of public spheres. Against this backdrop, we ask how transnational COVID-19 related online discourse has been throughout the EU over the first year of the pandemic. Which events triggered higher transnational coherence or national structuration of this specific issue public on Twitter? In order to study these questions, we rely on Twitter data obtained from the TBCOV database, i.e., a dataset for multilingual, geolocated COVID-19 related Twitter communication. We selected corpora for the 27 member states of the EU plus the United Kingdom. We defined three research periods representing different phases of the pandemic, namely April (1st wave), August (interim) and December 2020 (2nd wave) resulting in a set of 51,893,966 unique tweets for comparative analysis. In order to measure the level and temporal variation of transnational discursive linkages, we conducted a spatiotemporal network analysis of so-called Heterogeneous Information Networks (HINs). HINs allow for the integration of multiple, heterogeneous network entities (hashtags, retweets, @-mentions, URLs and named entities) to better represent the complex discursive structures reflected in social media communication. Therefrom, we obtained an aggregate measure of transnational linkages on a daily base by relating these linkages back to their geolocated authors. We find that the share of transnational discursive linkages increased over the course of the pandemic, indicating effects of adaptation and learning. However, stringent political measures of crisis management at the domestic level (such as lockdown decisions) caused stronger national structuration of COVID-19 related Twitter discourse.

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“…The third element mainly refers to political independence and self-determination. These three elements play and influence the political constellation that would result in negative and positive forms (Wang 2021), such as radicalism, exclusivity, and violent and civic, inclusive, and peaceful respectively. When talking about an ideal situation, maintaining a civic and inclusive nationalism calls for stronger solidarity and better governance performance, particularly in crisis times.…”

Section: Covid-19 and Nationalism: Theoretical Perspectivesmentioning

confidence: 99%

“…The relations between crises to nationalism lies in the process that political or economic shocks will push nationals to blame outsiders, take self-protectionist policies, develop nativist sentiments, and resort to anti-establishment movement. Therefore, the coronavirus that makes the state experiencing the crisis and other protective measures could even more become a fertile ground for the rising of the state's nationalist sentiment (Wang 2021).…”

Section: Covid-19 and Nationalism: Theoretical Perspectivesmentioning

confidence: 99%

COVID-19: Nationalism and global solidarities

Pratiwi

Tsauro

2021

MKP

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As the COVID-19 crisis emerged, many forms of nationalism have been rising, such as racism, state individualism, vaccine nationalism, and so forth. However, this kind of nationalism cannot solve the global pandemic that affects various aspects of human life that needs global solidarity in the framework of thinking. The purpose of this article is to explore the relationship between COVID-19, nationalism, and global solidarity. This article used the literature review method to compare and contrast the COVID-19, Nationalism, and Global Solidarity arguments by using reputable resources such as journals, research reports, and news articles. This article was divided into three sections: 1) the explanation about nationalism, its definition, and theoretical approach, 2) state and nationalism in crisis time, 3) cooperation and global solidarity. It concluded that the COVID-19 period showed us people tend to have greater individuality and higher attachment to their groups and state, as Social Identity Theory (SIT) suggests. It manifested in state nationalist view that state as the sole player in mitigating this pandemic shows selfish attitude. However, as the COVID-19 served as a global pandemic, it also needs global solidarity which has been proven in solving the spread of coronavirus and tackle its impact.

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From Crisis to Nationalism?

Cited by 40 publications

References 32 publications

Magnitude and Determinants of Mortalities Related to COVID-19: Evidence from 94 Countries Using Regression Techniques

Magnitude and Determinants of Mortalities Related to COVID-19: Evidence from 94 Countries Using Regression Techniques

Leveraging Dynamic Heterogeneous Networks to Study Transnational Issue Publics. The Case of the European COVID-19 Discourse on Twitter

COVID-19: Nationalism and global solidarities

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