| Literature DB >> 33782630 |
Abstract
Previous research has shown the increase of Chinese nationalism in some international events. However, it is unclear how a specific event fosters the rise of a particular type of nationalism, and how these different categories of nationalism relate to globalism. Given that, this study collected the most popular comments on 164 international COVID-19 events on Weibo to categorize different types of nationalism and measure the popularity index. The distribution of nationalism-categories across different topics was later estimated through semantic analysis, so as to explore how nationalism implies netizens' anti-globalization and pro-globalization sentiments. Specifically, the study categorized two different expressions of nationalism during the COVID-19 pandemic in China: a counterattack posture to external threats that is reflected as the Suppression of Ambivalent Attitudes, or a comparative response to global competition that serves as a stimulate to the Feeling of National Superiority. While the first expression is aligned with anti-globalization feelings, the second nationalistic sentiment stems from a sense of national superiority, which does not pose a threat to globalization. Our research revealed that a political global crisis not only influences the rise of nationalism but also its evolution. © Journal of Chinese Political Science/Association of Chinese Political Studies 2021.Entities:
Keywords: COVID-19 pandemic; Chinese nationalism; Global disaster; Globalization; Social media
Year: 2021 PMID: 33782630 PMCID: PMC7989715 DOI: 10.1007/s11366-021-09728-5
Source DB: PubMed Journal: J Chin Polit Sci ISSN: 1080-6954
Coding instrument (nationalism)
| Category of nationalism | Individual components | Examples |
|---|---|---|
| 1. The suppression of ambivalent attitudes toward the nation | Suppress ambivalent attitudes toward the nation within the country | “The whole dairy relies on hearsay. She defamed the Chinese government’s devoted effort to fighting the epidemic with her dark side” |
| Counterattack to negative evaluation or insulting behavior of the West | “As a Chinese person, I feel very angry and Denmark must apologize” | |
| “American flu! American H1N1!” | ||
| 2. Feeling of national superiority | Being proud of the nation | “Compared with other countries, China controlled the transmission of COVID-19 in less than a month. No other country could heal people free of charge like us. Our powerful backing, China!” |
| “They copied the work of the Chinese government, which proves that the Chinese government is so powerful and has gained all the nation’s worship” | ||
| Criticize and mock other countries Comparing to China | “More than 100,000 deaths couldn’t wake up a president who only cares about dollars, nor can it move a government that only wants capital” | |
| “Soaring confirmed case numbers may be due to herd immunity” | ||
| 3. Inclination to define one’s own group by criteria of descent, race, or cultural affiliation | “It turns out that white people are more suitable for virus transmission” | |
| “This good boy, living in a foreign country, had Chinese traditional culture in his mind and encouraged compatriots overseas with ancient poems” | ||
| 4. Derogation of groups not considered part of the nation | Indifference toward difficult situation in other countries | “Great America! It has completed the task of 1 million confirmed cases ahead of schedule” |
| “More and more people are infected. Will tomorrow be more wonderful?” | ||
| Refuse to share resources with people from other countries | “It must be segregated in accordance with rules. Welcome compatriots, not foreigners” | |
| 5. Idealization of the nation | Denmark, don’t grab the reputation of China! | |
| 6. An uncritical acceptance of national, state, and political authorities | Why not severely punish those people who complain that they have no human rights when returning to China? | |
| 7. Other (have nationalist tendency but can’t be classified into the above categories) | “She is a student studying abroad at the state’s expense but supports Hong Kong’s independence and Taiwan’s service trade agreement” | |
| 8. None (no any nationalist feature) |
Coding instrument (globalization)
| Attitude towards globalization | Individual components | Examples (events) | Examples (comments) |
|---|---|---|---|
| Pro-globalization | Support global allocation of medical resources | Jack Ma raises 1 million masks for Iran | In this special period, we should unite tightly and help each other! |
| Support existing global organizations and institutions | The Chinese government donates $20 million to WHO | Thank you WHO! Since the outbreak of the epidemic, they have been helping us deal with many unkind suggestions and malicious slanders | |
| Proud of China’s international actions | “Praise for such behavior. China’s international status is much higher” | ||
| Globalization has increased political, economic and social interests | The G20 will launch a $5 trillion economic boost plan | When the disaster strikes, the whole world is one family | |
| Welcome to join the Belt and Road strategic cooperation and hope that more countries will join | |||
| Anti-globalization | Oppose global allocation of medical resources | Germany intercepts Swiss imports of protective masks | Visually, European countries are about to start a war of mask |
| Oppose existing global organizations and institutions | Trump says he is considering stopping funding for WHO | The G20 economic plan will lead to the inevitable global inflation | |
| Dissatisfied with China’s assistance to foreigners or dissatisfied with China’s support for global flows | Why not serving the Chinese like foreigners? | ||
| Guard the country, prevent the import of new crowns, and prevent capital infiltration | |||
| Globalization has decreased political, economic and social interests | New imported confirmed cases from Italy found in Zhejiang | What is it about the people? What can the people do? Wear mask? What else? Our life can’t recover |
General distribution of nationalism-categories
| Nationalism-categories | Frequency | Percent (%) |
|---|---|---|
| 1. The suppression of ambivalent attitudes toward the nation | 802 | 15.89 |
| 2. Feeling of national superiority | 902 | 17.88 |
| 3. Inclination to define one’s own group by criteria of descent, race, cultural affiliation | 212 | 4.20 |
| 4. Derogation of groups not considered to be part of the nation | 430 | 8.52 |
| 5. Idealization of the nation | 29 | 0.57 |
| 6. Uncritical acceptance of national, state, and political authorities | 11 | 0.22 |
| 7. Other | 192 | 3.80 |
| 8. None | 2468 | 48.91 |
| Total | 5046 | 100 |
Fig. 1Percentage distribution of nationalism categories across topics. (Figure 1 note: T1 = Diagnosis of Foreign Elites; T2 = Outbreaks in Other Countries; T3 = Mitigation Strategies of Foreign Countries; T4 = Consequences of Epidemic in Other Countries; T5 = China’s Response to Virus Importations; T6 = China’s Participation and Assistance in International Governance; T7 = Criticism of China; T8 = COVID-19 Bonding the Entire Human Community; T9 = Involving Territory or Sovereignty. N1 = The Suppression of Ambivalent Attitudes toward the Nation; N2 = Feeling of National Superiority; N3 = Inclination to Define One’s Own Group by Criteria of Descent, Race, Cultural Affiliation; N4 = Derogation of Groups Not Considered to Be Part of the Nation; N5 = Idealization of the Nation; N6 = An Uncritical Acceptance of National, State, and Political Authorities; N7 = Other.)
Fig. 2Evolution of nationalism as epidemic of COVID-19 developed. (Figure 2 notes: N1 = The Suppression of Ambivalent Attitudes toward the Nation; N2 = Feeling of National Superiority; N3 = Inclination to Define One’s Own Group by Criteria of Descent, Race, Cultural Affiliation; N4 = Derogation of Groups Not Considered to Be Part of the Nation; N5 = Idealization of the Nation; N6 = An Uncritical Acceptance of National, State, and Political Authorities; N7 = Other.)
Fig. 3Semantic network of the suppression of ambivalent attitudes toward the nation during the COVID-19 outbreak
Fig. 4Semantic network of feeling of national superiority during the COVID-19 outbreak
Chi-square results (cross table) of the category of nationalism and characteristics of globalization
| Nationalism | Categories of nationalism | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Y | N | N1 | N2 | N3 | N4 | N5 | N6 | N7 | None | ||
| Globalization (events) | Anti-globalization | 54.10% | 45.90% | 26.41% | 9.80% | 6.15% | 7.65% | 0.82% | 0.41% | 2.82% | 45.95% |
| Pro-globalization | 47.33% | 52.67% | 5.33% | 21.00% | 3.50% | 12.17% | 0.83% | 0.00% | 4.50% | 52.67% | |
| Netural | 49.24% | 50.76% | 8.44% | 24.93% | 2.49% | 8.40% | 2.67% | 0.09% | 4.58% | 50.80% | |
| χ2 | 14.406 | 497.955 | |||||||||
| p | 0.001 | 0.000 | |||||||||
Note: Y = Have any aspect of nationalism, N = No any nationalist feature; N1 = The Suppression of Ambivalent Attitudes toward the Nation; N2 = Feeling of National Superiority; N3 = Inclination to Define One’s Own Group by Criteria of Descent, Race, Cultural Affiliation; N4 = Derogation of Groups Not Considered to Be Part of the Nation; N5 = Idealization of the Nation; N6 = An Uncritical Acceptance of National, State, and Political Authorities; N7 = Other
Chi-square results (cross table) of nationalism categories and attitudes to globalization
| Globolization (comments) | Total | |||||
|---|---|---|---|---|---|---|
| Anti-globalization pro-globalization neutral | ||||||
| Nationalism | The suppression of ambivalent attitudes toward the nation | Count % within globolization | 91 | 18 | 694 | 803 |
| Feeling of national superiority | 82.70% | 11.90% | 48.10% | 47.10% | ||
| Count % within globolization | 19 | 133 | 749 | 901 | ||
| 17.30% | 88.10% | 51.90% | 52.90% | |||
| Total | Count % within globolization | 110 | 151 | 1443 | 1704 | |
| 100.00% | 100.00% | 100.00% | 100.00% | |||
Note: χ2 = 131.606, p < 0.001