| Literature DB >> 35573125 |
Abstract
The outbreak of the COVID-19 pandemic has also led to many conspiracy theories. While the origin of the pandemic in China led some, including former US president Donald Trump, to dub the pathogen "Chinese virus" and to support anti-Chinese conspiracy narratives, it caused Chinese state officials to openly support anti-US conspiracy theories about the "true" origin of the virus. In this article, we study whether nationalism, or more precisely uncritical patriotism, is related to belief in conspiracy theories among normal people. We hypothesize based on group identity theory and motivated reasoning that for the particular case of conspiracy theories related to the origin of COVID-19, such a relation should be stronger for Chinese than for Germans. To test this hypothesis, we use survey data from Germany and China, including data from the Chinese community in Germany. We also look at relations to other factors, in particular media consumption and xenophobia.Entities:
Keywords: COVID-19; SARS-CoV-2; conspiracy myths; conspiracy theories; nationalism; uncritical patriotism
Year: 2022 PMID: 35573125 PMCID: PMC9093068 DOI: 10.3389/fsoc.2022.777650
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Demographic characteristics of the three samples.
| Age | Average | 26 | 22 | 33 |
| Gender | Male | 38 | 28 | 33 |
| Female | 62 | 72 | 66 | |
| Other | 1 | 0 | 1 | |
| Highest degree | High school | 53 | 79 | 9 |
| Bachelor | 29 | 22 | 32 | |
| Master or similar | 13 | 0 | 45 | |
| PhD | 2 | 0 | 11 | |
| Other | 2 | 0 | 3 | |
| Pupil | 0 | 0 | 1 | |
| Occupation | Students | 81 | 100 | 39 |
| Working | 16 | 0 | 34 | |
| Others | 2 | 0 | 26 | |
| Time spent in Europe in years (average) | 6.0 | |||
| (median) | 3.5 | |||
|
| 3,159 | 135 | 193 | |
Descriptive results for the German sample.
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|---|---|---|---|---|---|---|
| Uncritical patriotism | 4.3 | 16.1 | 29.8 | 49.7 | 483 | |
| Chinese responsible | 57 | 26.6 | 11.3 | 5.1 | 1,671 | |
| for COVID-19 | ||||||
| Better if there were fewer | 95.5 | 2.8 | 0.6 | 1.1 | 844 | |
| Chinese in Germany | ||||||
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| Wuhan lab accident narrative | 25.7 | 27.2 | 30.1 | 12.9 | 4.1 | 2,169 |
| China bioweapon narrative | 49.4 | 28.2 | 14.9 | 5.8 | 1.7 | 2,167 |
| CIA conspiracy narrative | 74 | 18.4 | 4.6 | 2.1 | 0.8 | 2168 |
| Bill Gates narrative | 85.8 | 8 | 3.5 | 1.7 | 0.9 | 2,166 |
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| Neutral conspiracies | – | 71.2 | 12.8 | 5.7 | 3.7 | 2,164 |
| Anti-China conspiracies | 22.2 | 16.5 | 20.7 | 15.6 | 13.3 | 2,165 |
| Anti-US conspiracies | 70.9 | 14.9 | 6.6 | 2.8 | 2.3 | 2,167 |
Higher agreement with the theories/statements is indicated by a higher number. See the main text for details on the survey items.
Descriptive results in China.
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|---|---|---|---|---|---|---|
| China | 13.9 | 43.3 | 40.6 | 2.1 | 187 | |
| USA | 1.1 | 24.2 | 70.4 | 4.3 | 186 | |
| Elsewhere | 3.3 | 50.0 | 43.5 | 3.3 | 184 | |
| Uncritical patriotism | 15.1 | 52.8 | 24.5 | 7.5 | 53 | |
| Proud of Chinese handling | 3.8 | 5.7 | 34.0 | 56.6 | 53 | |
| Dark side to be hidden | 13.2 | 64.2 | 18.9 | 3.8 | 53 | |
| Improvement society | 3.8 | 24.5 | 56.6 | 15.1 | 53 | |
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| Wuhan origin | 11.3 | 32.1 | 34.0 | 22.6 | 0 | 53 |
| CIA conspiracy narrative | 16.5 | 46.8 | 24.8 | 11.0 | 0 | 52 |
| Frozen food origin | 4 | 19.2 | 34.0 | 29.8 | 12.8 | 47 |
Higher agreement with the theories/statements is indicated by a higher number. See the main text for details on the survey items.
Correlation between patriotism, uncritical patriotism, and various COVID-19-related beliefs among German students.
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|---|---|---|
| Consensus | 0.127* | 0 |
| 0.049 | 0.997 | |
| Conspiracies score | −0.016 | 0.228*** |
| 0.799 | <0.001 | |
| “Neutral” conspiracies | −0.037 | 0.193*** |
| 0.571 | <0.001 | |
| Anti-China conspiracies | 0.038 | 0.173** |
| 0.561 | 0.001 | |
| Anti-US conspiracies | −0.013 | 0.213*** |
| 0.84 | <0.001 | |
* = significant on the 5% level, ** = 1% level, *** = 0.1% level.
Relationship between uncritical patriotism and belief in various conspiracy theories among Chinese living in Germany.
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| |
|---|---|
| Consensus | −0.336** |
| 0.007 | |
| Conspiracies score | 0.177 |
| 0.161 | |
| “Neutral” conspiracies | 0.149 |
| 0.239 | |
| Anti-China conspiracies | −0.271* |
| 0.03 | |
| Anti-US conspiracies | 0.313* |
| 0.012 | |
* = significant on the 5% level, ** = 1% level.
Relationship between patriotism and belief about potential origins of COVID-19 among subjects in China.
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|---|---|
| China | −0.273** |
| 0.002 | |
| USA | 0.014 |
| 0.877 | |
| Elsewhere | 0.044 |
| 0.632 | |
** = 1% level.
Effect of uncritical patriotism on belief in conspiracy theories among Germans and Chinese living in Germany.
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|---|---|---|---|---|---|
| Age | 0.194*** | 0.059 | 0.051 | 0.087 | 0.053 |
| (3.523) | (1.067) | (0.929) | (1.579) | (0.979) | |
| Female | −0.022 | 0.051 | 0.087 | 0.043 | 0.092* |
| (−0.495) | (1.12) | (1.922) | (1.010) | (2.19) | |
| Student | 0.009 | 0.018 | |||
| (0.104) | (0.214) | ||||
| University degree | −0.07 | 0.038 | 0.053 | 0.030 | 0.008 |
| (−1.475) | (0.782) | (1.122) | (0.597) | (0.159) | |
| Working | −0.039 | −0.122* | −0.096 | −0.121 | −0.066 |
| (−0.711) | (−2.219) | (−1.755) | (−1.558) | (−0.853) | |
| Uncritical patriotism | 0.20*** | 0.187*** | 0.237*** | ||
| (4.458) | (4.122) | (5.288) | |||
| Deviation uncritical | −0.188*** | −0.238*** | |||
| Patriotism | (−4.153) | (−5.287) | |||
| Chinese | −0.201*** | 0.138** | |||
| (−4.283) | (2.967) | ||||
| Chinese × deviation | 0.14** | −0.25 | |||
| Uncrit. patriotism | (2.995) | (−0.533) | |||
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| 478 | 480 | 480 | 541 | 541 |
| Adjusted | 5.7% | 4% | 5.8% | 7.4% | 8.7% |
* = significant on the 5% level, ** = 1% level, *** = 0.1% level.
Correlations of the two variants of patriotism with Chinese responsibility and the agreement with the statement that “there are too many Chinese in Germany”.
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|---|---|---|
| Chinese responsible for COVID-19 | 0.175** | 0.220** |
| (0.003) | (<0.001) | |
| It would be better if there were | 0.098 | 0.179*** |
| fewer Chinese in Germany | (0.96) | (<0.001) |
|
| 289 | 483 |
Pearson correlation, values in parentheses are p-values. * = significant on the 5% level, ** = 1% level, *** = 0.1% level.