Hate Speech in a Telegram Conspiracy Channel During the First Year of the COVID-19 Pandemic.

Research has explored how the COVID-19 pandemic triggered a wave of conspiratorial thinking and online hate speech, but little is empirically known about how different phases of the pandemic are associated with hate speech against adversaries identified by online conspiracy communities. This study addresses this gap by combining observational methods with exploratory automated text analysis of content from an Italian-themed conspiracy channel on Telegram during the first year of the pandemic. We found that, before the first lockdown in early 2020, the primary target of hate was China, which was blamed for a new bioweapon. Yet over the course of 2020 and particularly after the beginning of the second lockdown, the primary targets became journalists and healthcare workers, who were blamed for exaggerating the threat of COVID-19. This study advances our understanding of the association between hate speech and a complex and protracted event like the COVID-19 pandemic, and it suggests that country-specific responses to the virus (e.g., lockdowns and re-openings) are associated with online hate speech against different adversaries depending on the social and political context.

Social impacts of the COVID-19 pandemic: Xenophobic tendency and their consequences

The Coronavirus disease-19 (COVID-19) pandemic process caused problems in various fields in societies. Particularly the problems in the field of health and economy reached a certain point, and studies in these areas have intensified. In addition, the pandemic also increased psychosocial problems among individuals in the society. With the spread of the virus, people's living conditions changed. Their lives were restricted due to the physical distancing measures taken, and this led to the occurrence of various psychological problems. The negativities in their living conditions and the problems they are exposed to led people to look for scapegoats. Therefore, negative attitudes towards migrants who are regarded as foreigners began to spread in the society. Considered as fear, hatred and prejudice towards foreigners, xenophobia increased. In the present study, it is aimed to evaluate the factors that lead to xenophobic tendencies, the effects of xenophobic tendencies and various steps to prevent xenophobic tendencies during the COVID-19 pandemic process. In this regard, the relevant literature has been reviewed. The spread of xenophobic tendencies in the society is seen as an important risk in ensuring social cohesion. Thus, xenophobic tendencies should be prevented. As such, necessary steps should be taken to prevent unfounded information and prejudices about migrants during the pandemic process. Particular attention should be paid to the influence of the media and politicians. Social and economic inequalities experienced by migrants should be eliminated. Their access to social and judicial institutions, and educational and healthcare establishment in the society should be facilitated. Effective mental health services should be provided in order to reduce the negative impacts of xenophobic tendencies on migrants. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Turkish) Koronavirus hastaligi-19 (COVID-19) pandemisi surecinde, toplumlarda cesitli alanlarda sorunlar yasanmistir. Ozellikle saglik ve ekonomi alanindaki sorunlar onemli noktalara ulasmis ve bu alanlardaki calismalar yogunlasmistir. Ote yandan pandeminin toplumda bireyler arasinda psikososyal sorunlari da artirdigi gorulmustur. Virusun yayilmasiyla birlikte insanlarin yasam kosullari degismistir. Alinan fiziksel mesafe onlemleri kapsaminda yasamlari kisitlanmis ve bu durum cesitli psikolojik sorunlarin ortaya cikmasina neden olmustur. Yasam kosullarindaki olumsuzluklar ve maruz kalinan sorunlar, insanlari gunah kecisi aramaya yonlendirmistir. Sonuc olarak toplumda yabanci olarak degerlendirilen gocmenlere yonelik olumsuz tutumlar yayginlasmaya baslamistir. Yabancilara karsi korku, nefret ve on yargi olarak degerlendirilen zenofobi artmistir. Mevcut calismada COVID-19 pandemisi surecinde zenofobik egilimlere yol acan faktorler, zenofobik egilimlerin etkileri ve zenofobik egilimleri onlemeye yonelik cesitli adimlarin degerlendirilmesi amaclanmistir. Bu amacla ilgili literatur gozden gecirilmistir. Toplumda zenofobik egilimlerin yayginlasmasi, sosyal uyumun saglanmasi konusunda onemli bir risk olarak degerlendirilmektedir. Bu nedenle zenofobik egilimlerin onlenmesi gerekmektedir. Bu kapsamda pandemi surecinde gocmenlere dair asilsiz bilgilerin ve on yargilarin onune gecilmesi icin gerekli adimlar atilmalidir. Ozellikle medyanin ve politikacilarin etkisi dikkate alinmalidir. Gocmenlerin yasadigi sosyal ve ekonomik esitsizlikler giderilmelidir. Toplumdaki sosyal ve adli kurumlara, egitim ve saglik hizmeti sunan kuruluslara erisimleri kolaylastirilmalidir. Zenofobik egilimlerin gocmenler uzerindeki olumsuz etkilerini azaltmak icin etkin ruh sagligi hizmeti sunulmalidir. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

‘It came from China, it's a Chinese virus':: Indexical links, social values and racist negotiations in COVID-19 representations on Twitter

This study examines the negotiations of racism by Twitter users in the representation of the COVID-19 crisis during the first wave of the pandemic. We focus on expressions that target China as the place where COVID originated such as ‘Chinese virus' and ‘Kung flu'. The repeated use and discussion of these terms on social media serves to create, establish and reinforce indexical links (Silverstein 2003) to social values, which relate to ideological conceptions of China and Chinese culture. Additionally, Twitter users' crisis processing involves the renegotiatation of indexical links to social values that coincides with the engagement in sociopolitical debates that frequent online media environments, resulting in sociological fractionation (Agha 2007);the ideological opposition between Twitter user groups involves statements such as ‘Kung flu is racist but COVID originated in China's dirty markets.' We see such disclaimers as examples of ‘liquid racism' (Weaver 2011) that, while they are difficult to pin down as racist, they naturalise Sinophobia as the dominant discourse in our dataset. We conclude that racism in our data is a resource embedded in blame attribution that is compatible with crisis processing. © 2023, equinox publishing.

Racialized (Im)mobilities: The Pandemic and Sinophobia in Australia

The COVID-19 pandemic has impacted countries all over the world, not only in relation to public health responses, but on multiple other societal levels. The pandemic has uncovered structural inequalities within and across societies and highlighted how race remains a powerful lens through which public policy responses are constructed and pursued. This paper examines (im)mobilities in Australia in the context of Asian, and more specifically Chinese-Australian citizens and residents, and how these have been framed in racialized discourses that justified exclusionary practices reminiscent of the White Australia ideology. The paper focuses on how Chinese Australians' mobilities have been (mis)represented and attacked in public and political discourse with particular attention to the situation of Chinese international students' (im)mobilities. Our conceptual attention in this paper, however, is not only on the racialization of mobilities but also immobilities, underpinned by an understanding of the relationality between Othered ‘migrants' and hosts, as well as between mobility and immobility. We conclude by discussing future patterns of mobility, how these will impact prospective migrants including international students, and what future forms of mobilities might mean for Australia as a country highly dependent on migrants for its economic, social and cultural development.

The COVID-19 Outbreak as a Trigger Event for Sinophobic Hate Crimes in the United Kingdom

We assessed whether the COVID-19 outbreak in the United Kingdom was associated with a rise in sinophobic hate crimes as well as the temporal distribution of victimization rates. A victimization survey (N = 393) showed that following the first known case of COVID-19 in the United Kingdom, Chinese/East Asian persons had a higher likelihood of being hate crime or incident victims than members of other ethnic minority groups. Specifically, victimization reported by Chinese/East Asian participants reached its highest level in March 2020 (before lockdown);it then dropped significantly after an initial relaxation of restrictions in May 2020. Overall, we documented a temporary, potentially slightly delayed hate crime trigger effect of the COVID-19 outbreak. [ABSTRACT FROM AUTHOR] Copyright of British Journal of Criminology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Dualistic Trends of Sinophobia and Sinophilia: Impact on Foreign Policy Towards China

The People's Republic of China has invited both fascination and fear, admiration and contempt in the last few years. Various public opinion surveys' data findings reveal a nuanced and conflicted phenomenon of ‘Sinophobia' and ‘Sinophillia' across the world nations. One view of China is that of an ‘autocratic,' ‘anti-democratic' regime provoking anxiety and suspicion reflected in a trending wave of anti-China sentiments evolving into ‘Sinophobia,' with its prevalence and intensity highlighted in increasing cases of racism and violence towards immigrant Chinese after the novel coronavirus outbreak. The growing intensity of Sinophobia is noticed in countries witnessing a barging influx of Chinese investment with Chinese land grabs and the loss of native jobs. However, another view is of a nation that inspires vast admiration for its economic ascent and traditional culture. Today, China has an increasing appeal and attraction not just for its economic engagement but also for its culture, language and tourism. Public perceptions and opinions are critical factors in determining a state's foreign policy preferences and choices. This qualitative study utilises various global surveys and public opinion polls to gauge the dualistic trends of public opinion on China and examines the salience of public opinion in foreign relations, underlining a pluralist approach. The article illustrates multiple cases highlighting how negative or positive public opinion of China is correlated with an aggressive or friendly foreign policy posture towards China. © 2023 SAGE Publications.

Development of a COVID-19-Related Anti-Asian Tweet Data Set: Quantitative Study.

BACKGROUND: Since the advent of the COVID-19 pandemic, individuals of Asian descent (colloquial usage prevalent in North America, where "Asian" is used to refer to people from East Asia, particularly China) have been the subject of stigma and hate speech in both offline and online communities. One of the major venues for encountering such unfair attacks is social networks, such as Twitter. As the research community seeks to understand, analyze, and implement detection techniques, high-quality data sets are becoming immensely important. OBJECTIVE: In this study, we introduce a manually labeled data set of tweets containing anti-Asian stigmatizing content. METHODS: We sampled over 668 million tweets posted on Twitter from January to July 2020 and used an iterative data construction approach that included 3 different stages of algorithm-driven data selection. Finally, we found volunteers who manually annotated the tweets by hand to arrive at a high-quality data set of tweets and a second, more sampled data set with higher-quality labels from multiple annotators. We presented this final high-quality Twitter data set on stigma toward Chinese people during the COVID-19 pandemic. The data set and instructions for labeling can be viewed in the Github repository. Furthermore, we implemented some state-of-the-art models to detect stigmatizing tweets to set initial benchmarks for our data set. RESULTS: Our primary contributions are labeled data sets. Data Set v3.0 contained 11,263 tweets with primary labels (unknown/irrelevant, not-stigmatizing, stigmatizing-low, stigmatizing-medium, stigmatizing-high) and tweet subtopics (eg, wet market and eating habits, COVID-19 cases, bioweapon). Data Set v3.1 contained 4998 (44.4%) tweets randomly sampled from Data Set v3.0, where a second annotator labeled them only on the primary labels and then a third annotator resolved conflicts between the first and second annotators. To demonstrate the usefulness of our data set, preliminary experiments on the data set showed that the Bidirectional Encoder Representations from Transformers (BERT) model achieved the highest accuracy of 79% when detecting stigma on unseen data with traditional models, such as a support vector machine (SVM) performing at 73% accuracy. CONCLUSIONS: Our data set can be used as a benchmark for further qualitative and quantitative research and analysis around the issue. It first reaffirms the existence and significance of widespread discrimination and stigma toward the Asian population worldwide. Moreover, our data set and subsequent arguments should assist other researchers from various domains, including psychologists, public policy authorities, and sociologists, to analyze the complex economic, political, historical, and cultural underlying roots of anti-Asian stigmatization and hateful behaviors. A manually annotated data set is of paramount importance for developing algorithms that can be used to detect stigma or problematic text, particularly on social media. We believe this contribution will help predict and subsequently design interventions that will significantly help reduce stigma, hate, and discrimination against marginalized populations during future crises like COVID-19.

"Snake flu," "killer bug," and "Chinese virus": A corpus-assisted critical discourse analysis of lexical choices in early UK press coverage of the COVID-19 pandemic.

Now mostly known as "COVID-19" (or simply "Covid"), early discourse around the pandemic was characterized by a particularly large variation in naming choices (ranging from "new coronavirus" and "new respiratory disease" to "killer bug" and the racist term "Chinese virus"). The current study is situated within corpus-assisted discourse studies and analyses these naming choices in UK newspaper coverage (January-March 2020), focusing on terminology deemed "inappropriate" as per WHO guidelines on naming infectious diseases. The results show that 9% of all terms referring to COVID-19 or the virus causing it are "inappropriate" overall, with "inappropriate" naming being more prevalent (1) in tabloids than broadsheets and (2) in the period before compared to the period after the virus was officially named on 11th February, 2020. Selected examples within each of the categories of "inappropriate" names are explored in more detail [terms (1) inciting undue fear, (2) containing geographic locations, and (3) containing species of animals], and the findings are discussed with regard to the contribution of lexical choices to the reproduction of (racist and otherwise problematic) ideologies in mainstream media.

Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining

COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter's academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.

Racialized (Im)mobilities: The Pandemic and Sinophobia in Australia

The COVID-19 pandemic has impacted countries all over the world, not only in relation to public health responses, but on multiple other societal levels. The pandemic has uncovered structural inequalities within and across societies and highlighted how race remains a powerful lens through which public policy responses are constructed and pursued. This paper examines (im)mobilities in Australia in the context of Asian, and more specifically Chinese-Australian citizens and residents, and how these have been framed in racialized discourses that justified exclusionary practices reminiscent of the White Australia ideology. The paper focuses on how Chinese Australians’ mobilities have been (mis)represented and attacked in public and political discourse with particular attention to the situation of Chinese international students’ (im)mobilities. Our conceptual attention in this paper, however, is not only on the racialization of mobilities but also immobilities, underpinned by an understanding of the relationality between Othered ‘migrants’ and hosts, as well as between mobility and immobility. We conclude by discussing future patterns of mobility, how these will impact prospective migrants including international students, and what future forms of mobilities might mean for Australia as a country highly dependent on migrants for its economic, social and cultural development. [ FROM AUTHOR] Copyright of Journal of Intercultural Studies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Viral giggles: Internet memes and COVID-19 in Malawi

Social media played a crucial role during the COVID-19 pandemic both as a tool for communicating COVID-19-related messages and as a platform for sharing lighter moments during the distressful time. My article focuses on these lighter moments in the form of internet memes. My interest is on internet memes shared by the cyber public in Malawi. I contend that besides the humour, the memes carry insightful commentary on and criticism of society's reaction to and handling of the pandemic. The memes poke fun at petrified and distressed Malawians, at some politicians who took advantage of the pandemic to further their own interests and how the outbreak widened the gap between the rich and the poor. Some sinophobic memes accused China of infecting the world with virus. My methodological and theoretical approaches are based on netnographic studies and theories of humour (nature and function) respectively.

The COVID-19 outbreak as a trigger event for sinophobic hate crimes in the United Kingdom

We assessed whether the COVID-19 outbreak in the United Kingdom was associated with a rise in sinophobic hate crimes as well as the temporal distribution of victimization rates. A victimization survey (N = 393) showed that following the first known case of COVID-19 in the United Kingdom, Chinese/East Asian persons had a higher likelihood of being hate crime or incident victims than members of other ethnic minority groups. Specifically, victimization reported by Chinese/East Asian participants reached its highest level in March 2020 (before lockdown);it then dropped significantly after an initial relaxation of restrictions in May 2020. Overall, we documented a temporary, potentially slightly delayed hate crime trigger effect of the COVID-19 outbreak.

Dehumanization through humour and conspiracies in online hate towards Chinese people during the COVID-19 pandemic.

Since the beginning of the COVID-19 pandemic, there have been widespread conversations about the origins of the virus and who to blame for it. This article focuses on the online hate directed at Chinese and Asian people during the pandemic. Taking a critical discursive psychological approach, we analysed seven online threads related to COVID-19 and China from two Finnish websites (Suomi24 and Ylilauta) and one US (8kun) site. We identified three discursive trends associated with dehumanising Chinese populations: 'monstrous Chinese', 'immoral Chinese' and 'China as a threat', which created different forms of dehumanisation on a continuum from harsher dehumanisation to milder depersonalisation. The animalistic metaphors, coarse language, humorous frames and conspiracy beliefs worked to rhetorically justify the dehumanisation of Chinese individuals, making it more acceptable to portray them as a homogeneous and inhumane mass of people that deserves to be attacked. This study contributes to the field of discursive research on dehumanisation by deepening our knowledge of the specific features of Sinophobic hate speech.

Anti-Asian Microaggressions in the Time of COVID-19: Impact on Coping, Stress, and Well-Being

What is the public significance of this article? East Asian Americans confronted with anti-Asian microaggressions during the coronavirus disease (COVID-19) pandemic who engaged with the aggressor had more stress, but better mental health outcomes compared to participants who ignored microaggressions. An unanticipated outcome of coronavirus disease (COVID-19) has been increased Sinophobia directed toward Asian Americans. The present study used a mixed-methods design and investigated how 345 East Asian Americans responded to COVID-19-related microaggressions and how their responses affected stress and well-being. The qualitative data included 196 narratives describing anti-Asian microaggressions experienced by participants during COVID-19. Four themes emerged from narratives including nonverbal rejection responses, verbal rejection, physical assault, and exposure to aggression on the social media. Additionally, quantitative data collected participants' responses to scales measuring microaggressions, personal resilience, social support, coping strategies (engagement and disengagement coping), stress, and psychological well-being. Path analysis showed that participants who reported more microaggressions experienced significantly more stress. Participants with more social support had better psychological well-being. Those with stronger personal resilience were more likely to use engagement coping. Even though engagement coping was associated with more stress, confronting aggressors was also associated with better psychological well-being compared to ignoring the threat (disengagement coping). Implications of these findings are discussed.

Anti-Chinese sentiment in the Czech public service media during the COVID-19 pandemic

This paper focuses on Sinophobia which is usually not expressed openly in the public service media. The Sinophobia discourse intensified in 2020 in connection with the coverage of the pandemic. How are anti-Chinese attitudes expressed in the news discourse of the Czech Radio and Czech Television? Examples from a broader analysis of the representation of the SARS-COV-2 pandemic in news and journalism programmes are given. Inductive qualitative research methods (discourse and semiotic analysis) were used to detect subtle nuances of meaning and reveal implicit presuppositions. This study focuses on the manifestations of bias, e.g., the ideologically grounded attitudes of the speakers. The anti-Chinese statements (about poor hygiene habits and eating wild animals) were most often mentioned in connection with the origin of the coronavirus, vaccination, and China expansive policy. Sinophobic messages were built on the opposition of Us and Them, which is, according to van Dijk (2000), the core of new racism. In spite of the fact that the open hate speech and systematic bias (intentional implications, obvious evaluation or signposting) were not found in the researched sample, the analysis identified the presence of Sinophobic statements in both public service media.

Narrating the pandemic: COVID-19, China and blame allocation strategies in Western European popular press

Blaming the emergence and spread of COVID-19 on various social groups has been a central theme in narrating the pandemic. In such narratives, China has often emerged as a convenient scapegoat. However, systematic research into transcultural and culture-specific strategies of stigmatisation in the context of the corona pandemic is still scarce. With the help of a cultural studies perspective and multimodal analysis, we contribute to this effort by tracing the blame allocation strategies of the online platforms of three Western European newspapers – Daily Mail (the United Kingdom), Bild (Germany) and Neue Kronen Zeitung (Austria). We argue that, in their early accounts of the COVID-19 pandemic, all three newspapers perpetuated narratives of the pandemic outbreak that were then skilfully choreographed to support narratives of invasion that register anxieties over China’s potential rise to world dominance. While the strategies the venues apply show striking similarities, occasional differences account for the respective countries’ differing relations with and attitudes to China. [ FROM AUTHOR] Copyright of European Journal of Cultural Studies is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Anti-Chinese stigma in the Greater Toronto Area during COVID-19: Aiming the spotlight towards community capacity.

Due to the geographic origins of the first major outbreak of COVID-19 in Wuhan, China, individuals of Chinese ethnic origin around the world have experienced discrimination, xenophobia, and racism during the pandemic. Discriminatory actions have ranged from outright physical aggression to subtle microaggressions. While reports (both media and academic) have highlighted such incidents, this paper argues that when the conversation starts and stops at the reporting of experiences of stigma, the narrative remains as the victimization of the community. Instead, instances of COVID-19 stigma and discrimination are only one aspect of this story, where other aspects include a deeper understanding of the community itself along with an awareness of the capacity that the Chinese diaspora community brings forward to help overcome COVID-19. We focus our discussion on the Greater Toronto Area (GTA) in Canada, a global urban center that has a sizeable ethnic Chinese diaspora community, and argue that highlighting the early actions that the community took to help broader society in dealing with COVID-19 at the start of the pandemic may help to reframe anti-Chinese stigma during the pandemic. These early actions include physical distancing, mask-wearing, sanitation and advocacy. Findings for this case-study are informed by media monitoring and interviews with 83 individuals identifying as ethnically Chinese living across the GTA.

Coronavirus stigmatization and psychological distress among Asians in the United States.

OBJECTIVES: Coronavirus stigmatization may be disproportionately impacting ethnoracial minority groups in the US. We test three hypotheses: [H1] Asians in the US are more likely to report experiencing coronavirus stigmatization than non-Hispanic Whites; [H2] Coronavirus stigmatization is associated with psychological distress; [H3] Magnitude of association between coronavirus stigmatization and psychological distress is more pronounced among US-born Asians, compared to non-Hispanic Whites. DESIGN: We analyzed cross-sectional survey data from the 10-31 March 2020 wave of the Understanding America Survey, a nationally representative survey of adults in the US. Psychological distress was assessed with the PHQ-4. Measures of association were estimated using multiple logistic regression and survey sampling weights. Predicted probabilities were calculated using marginal standardization ( n = 6707). RESULTS: [H1] The adjusted predicted probability of experiencing any coronavirus stigma among foreign-born Asians (11.2%, 95% CI: 5.5-17.0%; E-value = 4.52), US-born Asians (10.9%, 95% CI: 5.8-16.0%; E-value = 4.23), Blacks (8.0%, 95% CI: 5.3-10.7%; E-value = 2.92), and Hispanic Whites (7.3%, 95% CI: 4.6-9.9%; E-value = 2.58) was significantly greater than non-Hispanic Whites (4.5%, 95% CI: 3.7-5.4%). [H2] Individuals reporting any coronavirus stigma experience were significantly more likely to exhibit psychological distress (19.9%, 95% CI: 14.6-25.2% vs 10.6%, 9.6-11.6%; E-value = 3.16). [H3] The overall magnitude of association between experience of any coronavirus stigma and psychological distress was not significantly between US-born Asians and non-Hispanic Whites, though we found gender to mask this effect. US-born Asian females who experienced coronavirus stigmatization were more likely to exhibit psychological distress than non-Hispanic white females who experienced coronavirus stigmatization (relative risk (RR): 10.21, 95% CI: 2.69-38.74 vs 1.24, 95% CI: 0.76-2.01; p < 0.01). CONCLUSION: Comprehensive measures around care seeking, public awareness, and disaggregated data collection are needed to address ethnoracial coronavirus stigmatization and its impact on psychological health and well-being.

Sinophobic Epidemics in America: Historical Discontinuity in Disease-related Yellow Peril Imaginaries of the Past and Present.

Modern scholarship has drawn hasty and numerous parallels between the Yellow Peril discourses of the 19th- and 20th-century plagues and the recent racialization of infectious disease in the 21st-century. While highlighting these similarities is politically useful against Sinophobic epidemic narratives, Michel Foucault argues that truly understanding the past's continuity in the present requires a more rigorous genealogical approach. Employing this premise in a comparative analysis, this work demonstrates a critical discontinuity in the epidemic imaginary that framed the Chinese as pathogenic. Consequently, those seeking to prevent future disease racialization must understand modern Sinophobia as fundamentally distinct from that of the past.

COVID-19, Coronavirus, Wuhan Virus, or China Virus? Understanding How to "Do No Harm" When Naming an Infectious Disease.

When labeling an infectious disease, officially sanctioned scientific names, e.g., "H1N1 virus," are recommended over place-specific names, e.g., "Spanish flu." This is due to concerns from policymakers and the WHO that the latter might lead to unintended stigmatization. However, with little empirical support for such negative consequences, authorities might be focusing on limited resources on an overstated issue. This paper empirically investigates the impact of naming against the current backdrop of the 2019-2020 pandemic. The first hypothesis posited that using place-specific names associated with China (e.g., Wuhan Virus or China Virus) leads to greater levels of sinophobia, the negative stigmatization of Chinese individuals. The second hypothesis posited that using a scientific name (e.g., Coronavirus or COVID-19) leads to increased anxiety, risk aversion, beliefs about contagiousness of the virus, and beliefs about mortality rate. Results from two preregistered studies [N(Study 1) = 504; N(Study 2) = 412], conducted across three countries with the first study during the early outbreak (April 2020) and the second study at a later stage of the pandemic (August 2020), found no evidence of any adverse effects of naming on sinophobia and strong support for the null hypothesis using Bayesian analyses. Moreover, analyses found no impact of naming on anxiety, risk aversion, beliefs about contagiousness of the virus, or beliefs about mortality rate, with mild to strong support for the null hypothesis across outcomes. Exploratory analyses also found no evidence for the effect of naming being moderated by political affiliation. In conclusion, results provide no evidence that virus naming impacted individual's attitudes toward Chinese individuals or perceptions of the virus, with the majority of analyses finding strong support for the null hypothesis. Therefore, based on the current evidence, it appears that the importance given to naming infectious diseases might be inflated.