Social Media Use and Misinformation Among Asian Americans During COVID-19

Social media has been crucial for seeking and communicating COVID-19 information. However, social media has also promulgated misinformation, which is particularly concerning among Asian Americans who may rely on in-language information and utilize social media platforms to connect to Asia-based networks. There is limited literature examining social media use for COVID-19 information and the subsequent impact of misinformation on health behaviors among Asian Americans. This perspective reviews recent research, news, and gray literature to examine the dissemination of COVID-19 misinformation on social media platforms to Chinese, Korean, Vietnamese, and South Asian Americans. We discuss the linkage of COVID-19 misinformation to health behaviors, with emphasis on COVID-19 vaccine misinformation and vaccine decision-making in Asian American communities. We then discuss community- and research-driven responses to investigate misinformation during the pandemic. Lastly, we propose recommendations to mitigate misinformation and address the COVID-19 infodemic among Asian Americans.

Introduction

During public health emergencies like the 2003 SARS pandemic, 2009 H1N1 swine flu pandemic, 2016 Ebola epidemic, and current COVID-19 pandemic (1–4), the internet and social media serve as hubs for the growth and rapid dissemination of information and misinformation globally, often contributing to confusion in public health campaigns. Misinformation is false or inaccurate information that is not supported by scientific evidence and shared without intent to cause harm, and includes conspiracy theories, disinformation, and mal-information (5, 6). Misinformation is often conflated with colloquially used terminology such as fake news, rumor, urban legends, spam, and trolling (6, 7). This overabundance of information and misinformation contributes to the growing infodemic, where the availability of false or misleading information online and offline creates an environment that can undermine public health responses during a crisis (8). Misinformation has been shown to negatively impact people's COVID-19 health protective behaviors, including spending limited time outside of homes, practicing social distance measures, and washing hands per public health guidance (9). COVID-19 misinformation, specifically the erroneous labeling of COVID-19 as the “Chinese Virus” on social media (10) has led to social discrimination on Asian American communities, contributing to increasing anti-Asian sentiment and anti-Asian hate crimes across the nation.

Asian American social networks are distinct from other communities. These networks may include family in other Asian countries and include dissemination of non-English information on social media. However, there is a paucity in literature examining use of social media for COVID-19 information among Asian Americans, types of misinformation disseminated on social media in these networks, and subsequently the impact of such information on Asian Americans' health behaviors. We conducted a narrative review to examine the use of social media platforms to disseminate COVID-19 misinformation across Chinese, Korean, Vietnamese, and South Asian Americans, four of the largest Asian subgroups in the United States (U.S.). We discuss the linkage of COVID-19 misinformation to health behaviors, with emphasis on misinformation about COVID-19 vaccines and vaccination confidence, as well as community-driven responses to address COVID-19 misinformation among Asian Americans. Lastly, we propose recommendations to mitigate misinformation and address the infodemic in Asian American communities.

COVID-19 Misinformation and Social Media

Health misinformation is prevalent across various social media platforms. A systematic review of 69 studies identified Twitter, YouTube, and Facebook as the most common social media platforms for health information dissemination, while less popular platforms included WhatsApp, Pinterest, Tumblr, BK, and Myspace (11). There are six main categories of health misinformation topics including pandemics, vaccines (e.g., antivaccination, side effects of vaccines), medical treatments, non-communicable diseases (e.g., cancer, diabetes, epilepsy), eating disorders, and drugs or smoking (11). Health misinformation poses a public health challenge due to its adverse influence on health behaviors, including panic buying and disregarding health guidance from public health officials (e.g., stay-at-home orders, handwashing, social distancing) (9, 12, 13).

Researchers reported that social media was nationally the third most common information source for COVID-19 information and misinformation (14). Similarly, a recently published scoping review examining the role of social media during the COVID-19 pandemic identified 12 articles that discussed the role of COVID-19 misinformation augmenting the global infodemic (15). The ongoing infodemic has spread rumors and disinformation on social media related to COVID-19 virus etiology, prevention, treatment, interventions, and vaccines (16, 17). COVID-19 misinformation is challenging to address and document given its pervasiveness across various social media platforms that are highly utilized and trusted by the global community (18). Greater exposure to misinformation is associated with problematic COVID-19 beliefs, poorer COVID-19-related knowledge, and less preventative behaviors (13). Relatedly, belief in COVID-19 conspiracy theories was found to be associated with lower COVID-19 preventative behaviors (9). Misinformation about COVID-19 may also influence specific health behaviors (e.g., vaccine hesitancy) (9, 19).

Social Media Utilization Among Asian Americans

Asian Americans, who comprise 5.5 percent of the U.S. population (20), are leading users of internet and mobile technologies, evidenced through higher ownership of smartphones, laptops, and wireless networks (21, 22). Approximately 94 percent of Asian American households own a smartphone in the US, which increases access to the internet and social media for entertainment, information seeking, and social connectedness (22). In particular, Asian Americans (many of whom are first generation, foreign-born immigrants) utilize the internet and social media to seek and receive up-to-date health information (23, 24). According to the Pew Research Center (25), approximately two-third of Asian Americans speak a language other than English at home, with Chinese (34%) being the most spoken Asian language, followed by Hindi (13%), Tagalog (9%), and Vietnamese (4%). Social media allows for cross-national social connectedness to family and friends in home countries (22), and the efficacious transfer of health, political, economic-related information in native languages. Importantly, for limited English proficient (LEP) Asian Americans, the use of mainstream English-speaking social media platforms may not be appropriate. To mitigate language barriers and receive up-to-date health information, many Asian Americans tend to use social media platforms that enable communication in their native languages. As such, preference for social media platforms among Asian Americans parallels the diversity of Asian American ethnicities, languages, and generation (see Table 1).

TABLE 1

Table 1. Preferred digital/social media platforms by Asian American subgroup.

Despite the prevalent use of social media among Asian Americans, there has been limited research on Asian Americans' pattern of social media use by age, gender, and socioeconomic status (28). Frequently, Asian Americans are not included in national datasets on social media use and engagement. For instance, the Pew Research Center does not report data on Asian Americans in its research on social media use in the U.S. Similarly, detailed race/ethnicity was not reported for “Americans” in an international survey that examined use of social media for health information among Americans, Koreans, and Hong Kongers (29). In the context of the COVID-19 pandemic, there has been no research investigating Asian Americans' use of social media for COVID-19-related information. While recent research has investigated sociodemographic predictors of U.S. adults' use and trust of COVID-19-related information sources (14), researchers have yet to examine race as a factor, limiting what we know about Asian Americans' use of social media for COVID-19 related-information. However, a recent survey of Asian American young adults from March 2021 reported participants used Facebook Messenger (61%) and Instagram (57%) most often with siblings and cousins and WhatsApp (29%) with parents¹. Use of social media platforms also varied by Asian subgroup, gender and country of birth¹. Preference of specific social media platforms may also differ between older and younger generations of Asian Americans. However, there may be in-language social media platforms such as WeChat, KaKaoTalk, and Line that are shared across generations and promote the circulation of information across geographic and generational boundaries.

COVID-19 Misinformation by Asian American Subgroups

Amidst COVID-19-related uncertainty and fears, Asian Americans are turning to the internet and social media for the latest updates on the pandemic, such as confirmed COVID-19 cases, government-issued COVID-19 policies and guidelines, and COVID-19-related health information (e.g., COVID-19 prevention measures, personal protective equipment (PPE), COVID-19 symptoms, diagnosis, and treatment) (30, 31), which have been shown to positively influence and improve public health behavioral strategies against COVID-19 (1). Asian Americans' pattern of utilizing social media and other online sources for information during the COVID-19 pandemic is analogous to the use of these platforms during the 2003 SARS pandemic (2), during which the Centers for Disease Control and Prevention (CDC) reported evidence of substantial misinformation that contributed to growing confusion and fear. Likewise, COVID-19 misinformation is circulating on social media platforms utilized by Asian Americans, leading to widespread misinformation across the Asian American communities in the U.S. and the Asian global diaspora. Misinformation on the internet and social media during the COVID-19 pandemic continue to heighten the mistrust, fear, and anxiety stimulated by COVID-19 pandemic and anti-Asian racism (32, 33).

Extant literature on social media, Asian Americans, and COVID-19 has focused on how contentious COVID-19 misinformation contributed to the increase in discrimination, racism, and violence against Asian Americans (10, 34), as well as how social media is used to mediate such effects (35). However, there is limited research on the content of COVID-19 misinformation dispersed across ethnic-specific social media platforms in the Asian American community. We illustrate the heterogeneity of COVID-19 misinformation across social media applications by Asian American subgroups and the potential impacts of COVID-19 misinformation on Asian American subgroups' health behaviors (see Table 2).

TABLE 2

Table 2. COVID-19 misinformation on social media platforms by Asian American subgroup.

Efforts to Addressing COVID-19 Misinformation in Asian American Communities

In response to alarming COVID-19 misinformation in Asian American communities, community and public health leaders are spearheading efforts to combat the impacts of misinformation and to disseminate scientific COVID-19 information. In New York City, in-language virtual webinars were held by the NYU Center for the Study of Asian American Health (CSAAH), in partnership with community and academic partners, for Chinese, Filipino, South Asian, Arab American, and Hispanic communities, to answer questions and concerns about COVID-19. Likewise, the Filipino Young Leaders Program (FYLPRO) developed the Caretaker Program, Tayo, a virtual help desk that provides accurate and timely information on COVID-19 to the Filipino community in Tagalog and English (52). Similarly, the Asian Pacific Islander American Health Forum (APIAHF) has produced in-language videos (e.g., Simplified Chinese, Traditional Chinese, Korean, Vietnamese, and Bengali) to dispel COVID-19 vaccine misinformation in Asian American communities (53).

Nationally, the Progressive Vietnamese American Organization (PIVOT) launched the Viet Fact Check Project to release in-language information on COVID-19 vaccination, to dispel common myths, and to encourage higher uptakes of vaccination in the Vietnamese community (46). The Viet Fact Check Project is also collaborating with the University of Washington Center for an Informed Public, to examine the pattern of misinformation and media consumption in the Vietnamese community (54). Similarly, for the South Asian community, the University of California, San Francisco and California State University, East Bay are conducting a study called, Covid Associated MisinforRmation on Messaging Apps (CAROM) (55), to evaluate COVID-19 misinformation circulating in WhatsApp among South Asians.

Recommendations

Misinformation, especially COVID-19 misinformation, has far-reaching impacts on health and wellbeing for Asian Americans and other minority groups that face existing, unique health disparities (9, 10, 13, 56). It is imperative to recognize the abundance of misinformation that exists in these communities and to identify misinformation as a public health crisis (9, 12, 13, 18). The field of public health, with its mission of prevention and education, can informatively identify misinformation and provide accurate scientific facts about COVID-19. Prior research has shown that correction is an effective measure to counter health misinformation on social media (57). In the correction approach, misinformation on social media is identified with a timely and credible explanation of why the misinformation is false, and the explanation is repeatedly reinforced through multiple corrections (57). A collaborative taskforce of public health officials and digital health communication specialists monitoring should be assembled on these in-language social media platforms to promptly identify and address COVID-19 misinformation that are available in English and Asian languages. Moreover, public health organizations can collaborate with leading social media and technology companies to efficiently detect, label, and remove COVID-19 misinformation, as well as to provide accurate public health announcements. Recently, the World Health Organization (WHO) has been collaborating with social media companies including WhatsApp, Viber, TikTok, Google, and YouTube to ensure that accurate, reliable, scientific information about COVID-19 appears first when people search for COVID-19-related information (58). However, leading in-language social media platforms like WeChat and KaKaoTalk also need to be included in this collaborative effort to stamp out COVID-19 misinformation in Asian American communities.

Identification and correction of misinformation across social media is not enough to end the COVID-19 infodemic. In concordance with the deficit hypothesis (59), public health also needs to improve eHealth literacy among the public to ensure that people are thoroughly assessing the scientific quality and accuracy of the information they encounter on social media (60). eHealth literacy is “the ability to seek, find, understand, and appraise health information from electronic sources and apply the knowledge gained to addressing or solving a health problem (61).” A cross-sectional survey conducted in China found that eHealth literacy is a significant predictor of preventative health behaviors during the COVID-19 pandemic and that eHealth literacy has more impact on health-related behaviors than knowledge (62). Findings from this study suggest that improving and targeting eHealth literacy is critical to manage the COVID-19 crisis (62). In order to improve eHealth literacy and ultimately mitigate COVID-19 misinformation among Asian Americans, in-language training and materials need to be made more available. Through these trainings and materials, Asian American community members can be provided with better tools to decipher between reliable, accurate scientific information on COVID-19 and misinformation on social media platforms. Likewise, public health officials need to improve media literacy in Asian American communities, informing and guiding community members on how to analyze and evaluate the quality of diverse media platforms, including social media, films, newspapers, television shows, etc., for accurate scientific information (63). With improved eHealth and media literacy, Asian Americans can utilize social media to seek accurate health information, which prior studies have shown health education on social media to be effective in addressing prevalent health issues such as hypertension (64), Hepatitis B (65), and obesity (66) among Asian Americans. Lastly, as Asian American is a diverse racial group, it is necessary to hold additional culturally- and linguistically-concordant virtual webinars and create educational materials tailored to addressing the unique COVID-19 misinformation experienced by all Asian American subgroups.

In addition, the public health response can utilize and leverage community health workers (CHWs), who are vital members representative of the community, to identify COVID-19 misinformation and to inform community members of ways to be aware of misinformation and provide accurate in-language information.

Furthermore, many forms of online misinformation, particularly conspiracy theories, are due to complex psychological mechanisms that need to be further examined to thoroughly combat and contain the infodemic in Asian American and other communities. People are also more likely to have strong conspiracy beliefs that undermine any scientific guidance when they are experiencing high levels of anxiety and uncertainty (67). Research has shown that conspiracy theories are influential and often inimical to health (68), which is concerning during the COVID-19 pandemic as preventative health behaviors are instrumental to abating and containing the spread of COVID-19. Recognizing the prevalence of conspiracy theories and its adverse impact on COVID-19 vaccination acceptance and uptake (69) is necessary to develop targeted strategies and interventions to encourage vaccination among low-income and communities of color that are at higher risk for COVID-19. Interdisciplinary research examining the psychology of misinformation can inform public health efforts to stop the spread of COVID-19 misinformation (70).

Conclusion

Social media has inevitably promulgated the transnational exchange of COVID-19 misinformation during the pandemic, prompting academic and community action to combat COVID-19 misinformation on social media. We speculate that Asian Americans are likely to utilize social media to receive COVID-19-related health information because they are able to effectively communicate with family and friends, particularly due to the dearth of COVID-19 information by the federal government in diverse Asian languages. We recommend multi-sectoral efforts between public health officials, community leaders, researchers, and social media companies to identify and mitigate health misinformation on social media, as well as the inclusion of CHWs to educate community members on misinformation and provide accurate scientific information. Improving eHealth and digital literacy among Asian Americans could also aid in the evaluation of identifying misinformation and seeking trustworthy and reputable websites. More research on the psychological mechanisms behind conspiracy theories and misinformation could led to effective health promotion communication strategies and interventions that improve acceptance of scientific evidence and public health guidance needed during public health emergencies.

Research is also needed to address the origins and mediators of susceptibility to COVID-19 misinformation. For example, the exploration of how social media platforms, usage patterns, and usage of social media for health information by disaggregated Asian American subgroups in the U.S., as well as by other racial and ethnic groups is needed. Increase research efforts are necessary to quantitatively and qualitatively understand the social, economic, and health impacts of COVID-19 misinformation in Asian American communities. The consequences of misinformation on health behaviors in Asian American communities will likely span beyond the impacts of the COVID-19 infection and will require culturally- and linguistically-concordant interventions to address health disparities.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author Contributions

SC, SA, SY, and SK conceptualized the manuscript. SC and SA wrote the first draft of the manuscript. LÐ, SY, and SK provided critical review of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Funding

This work was supported by the National Institutes of Health (NIH), National Institute on Minority Health and Health Disparities (NIMHD) Award Number U54MD000538, and the preparation of this manuscript was supported in part by U.S. Department of Health and Human Services, Centers for Disease Control and Prevention (CDC) Award Numbers NU38OT2020001477, CFDA number 93.421, 1NH23IP922639-01-00, CFDA number 93.185, and NIH NHLBI Community Engagement Alliance (CEAL) Non-Federal 1OT2HL156812-01, Westat Sub-OTA No: 6793-02-S013. LÐ was supported by the NIH Resource Centers for Minority Aging Research (RCMAR) Award Number 5P30AG059302. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the funders.

Author Disclaimer

The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the funders.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors would like to extend gratitude to PIVOT for their input.

Footnotes

1. ^Mohsin F, Ali SH, Parikh R, Chong SK, DiClemente RJ. Social media use and family interaction among Asian American young adults: identifying disparities to inform interpersonal health interventions.

References

1. Al-Dmour H, Masa'deh R, Salman A, Abuhashesh M, Al-Dmour R. Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model. J Med Internet Res. (2020) 22:e19996. doi: 10.2196/19996

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Person B, Sy F, Holton K, Govert B, Liang A, Garza B, et al. Fear and stigma: the epidemic within the SARS outbreak. Emerg Infect Dis. (2004) 10:358–63. doi: 10.3201/eid1002.030750

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Sell TK, Hosangadi D, Trotochaud M. Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak. BMC Public Health. (2020) 20:550. doi: 10.1186/s12889-020-08697-3

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Freberg K, Palenchar MJ, Veil SR. Managing and sharing H1N1 crisis information using social media bookmarking services. Public Relat Rev. (2013) 39:178–84. doi: 10.1016/j.pubrev.2013.02.007

CrossRef Full Text | Google Scholar

5. Chou W-YS, Oh A, Klein WMP. Addressing health-related misinformation on social media. JAMA. (2018) 320:2417–8. doi: 10.1001/jama.2018.16865

PubMed Abstract | CrossRef Full Text | Google Scholar

6. M Wu L, Morstatter F, Carley KM, Liu H. Misinformation in social media: definition, manipulation, and detection. ACM SIGKDD Explor Newslett. (2019) 21:80–90. doi: 10.1145/3373464.3373475

CrossRef Full Text | Google Scholar

7. Wardle C, Derakhshan H. Information Disorder: Toward an Interdisciplinary Framework for Research Policy Making [Internet]. Strasbourg: Council of Europe (2021). Available online at: https://edoc.coe.int/en/media/7495-information-disorder-toward-an-interdisciplinary-framework-for-research-and-policy-making.html (accessed March 31, 2021).

Google Scholar

8. World Health Organization. Infodemic [Internet] (2021). Available online at: https://www.who.int/westernpacific/health-topics/infodemic (accessed March 31, 2021).

9. Allington D, Duffy B, Wessely S, Dhavan N, Rubin J. Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychol Med. (2021) 51:1763–9. doi: 10.1017/S003329172000224X

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hswen Y, Xu X, Hing A, Hawkins JB, Brownstein JS, Gee GC. Association of “#covid19” versus “#chinesevirus” with anti-asian sentiments on twitter: March 9–23, 2020. Am J Public Health. (2021) 18:e1–9. doi: 10.2105/AJPH.2021.306154

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of health misinformation on social media: systematic review. J Med Internet Res. (2021) 23:e17187. doi: 10.2196/17187

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Tasnim S, Hossain MM, Mazumder H. Impact of rumors and misinformation on COVID-19 in social media. J Prev Med Pub Health. (2020) 53:171–4. doi: 10.3961/jpmph.20.094

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lee JJ, Kang K-A, Wang MP, Zhao SZ, Wong JYH, O'Connor S, et al. Associations between COVID-19 misinformation exposure and belief with COVID-19 knowledge and preventive behaviors: cross-sectional online study. J Med Internet Res. (2020) 22:e22205. doi: 10.2196/22205

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ali SH, Foreman J, Tozan Y, Capasso A, Jones AM, DiClemente RJ. Trends and predictors of COVID-19 information sources and their relationship with knowledge and beliefs related to the pandemic: nationwide cross-sectional study. JMIR Public Health Surveill. (2020) 6:e21071. doi: 10.2196/21071

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Tsao S-F, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt ZA. What social media told us in the time of COVID-19: a scoping review. Lancet Digit Health. (2021) 3:e175–94. doi: 10.1016/S2589-7500(20)30315-0

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Islam MS, Sarkar T, Khan SH, Kamal A-HM, Hasan SMM, Kabir A, et al. COVID-19–related infodemic and its impact on public health: a global social media analysis. Am J Trop Med Hyg. (2020) 103:1621–9. doi: 10.4269/ajtmh.20-0812

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Pennycook G, McPhetres J, Zhang Y, Lu JG, Rand DG. Fighting COVID-19 Misinformation on social media: experimental evidence for a scalable accuracy-nudge intervention. Psychol Sci. (2020) 31:770–80. doi: 10.1177/0956797620939054

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Merchant RM, South EC, Lurie N. Public health messaging in an era of social media. JAMA. (2021) 325:223. doi: 10.1001/jama.2020.24514

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Loomba S, de Figueiredo A, Piatek SJ, de Graaf K, Larson HJ. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat Hum Behav. (2021) 5:337–48. doi: 10.1038/s41562-021-01056-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. U.S. Census Bureau. 2019 ACS 5-Year Estimates Data Profiles (2021). Available online at: https://data.census.gov/cedsci/table?q=united%20states&g=0100000US&y=2019&tid=ACSDP5Y2019.DP05&hidePreview=true (accessed March 31, 2021).

21. The Nielsen Company. Asian Americans: Digital Lives and Growing Influence [Internet] (2021). Available online at: https://www.nielsen.com/us/en/insights/report/2018/asian-americans-consumers (accessed March 31, 2021).

22. The Nielsen Company. State of the Asian American Consumer Report (2021). Available online at: http://iibscstl.org/wp-content/PDF/State-of-the-Asian-American-Consumer-Report.pdf (accessed March 31, 2021).

23. The Pew Research Center. The Rise of Asian Americans [Internet]. Pew Research Center's Social & Demographic Trends Project. 2012 (2021). Available online at: https://www.pewresearch.org/social-trends/2012/06/19/the-rise-of-asian-americans/ (accessed March 31, 2021).

24. Islam NS, Patel S, Wyatt LC, Sim S-C, Mukherjee-Ratnam R, Chun K, et al. Sources of health information among select asian american immigrant groups in New York City. Health Commun. (2016) 31:207–16. doi: 10.1080/10410236.2014.944332

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Budiman A, Ruiz NG. Key Facts About Asian Americans, a Diverse and Growing Population [Internet]. Washington, DC: Pew Research Center (2021). Available online at: https://www.pewresearch.org/fact-tank/2021/04/29/key-facts-about-asian-americans/ (accessed March 31, 2021).

26. Nguyen T. Why Fake News Is so Hard to Combat in Asian American Communities [Internet]. Vox, (2020). Available online at: https://www.vox.com/identities/21579752/asian-american-misinformation-after-2020 (accessed March 31, 2021).

27. Apartnership. Asian American Marketing: Social Media and Influencers [Internet] (2021). Available online at: https://apartnership.com/winning-asian-americans-on-social-media/ (accessed March 31, 2021).

28. Charmaraman L, Chan HB, Chen S, Richer A, Ramanudom B. Asian American social media use: from cyber dependence and cyber harassment to saving face. Asian Am J Psychol. (2018) 9:72–86. doi: 10.1037/aap0000109

CrossRef Full Text | Google Scholar

29. Song H, Omori K, Kim J, Tenzek KE, Hawkins JM, Lin W-Y, et al. Trusting social media as a source of health information: online surveys comparing the United States, Korea, and Hong Kong. J Med Internet Res. (2016) 18:e4193. doi: 10.2196/jmir.4193

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Wong A, Ho S, Olusanya O, Antonini MV, Lyness D. The use of social media and online communications in times of pandemic COVID-19. J Intensive Care Soc. (2020) 22:1751143720966280. doi: 10.1177/1751143720966280

PubMed Abstract | CrossRef Full Text

31. Bento AI, Nguyen T, Wing C, Lozano-Rojas F, Ahn Y-Y, Simon K. Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases. Proc Natl Acad Sci U S A. (2020) 117:11220–2. doi: 10.1073/pnas.2005335117

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Woo B, Jun J. COVID-19 racial discrimination and depressive symptoms among Asians Americans: does communication about the incident matter? J Immigr Minor Health. (2021). doi: 10.1007/s10903-021-01167-x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tessler H, Choi M, Kao G. The anxiety of being Asian American: hate crimes and negative biases during the COVID-19 pandemic. Am J Crim Justice AJCJ. (2020) 10:1–11. doi: 10.1007/s12103-020-09541-5

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Yang C-C, Tsai J-Y, Pan S. Discrimination and well-being among Asians/Asian Americans during COVID-19: the role of social media. Cyberpsychol Behav Soc Netw. (2020) 23:865–70. doi: 10.1089/cyber.2020.0394

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Croucher SM, Nguyen T, Rahmani D. Prejudice toward Asian Americans in the Covid-19 pandemic: the effects of social media use in the United States. Front Commun. 5:39. doi: 10.3389/fcomm.2020.00039

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zhang C. Study: Chinese-American immigrants fall prey to WeChat's misinformation problem [Internet]. Columbia Journalism Review (2021). Available online at: https://www.cjr.org/tow_center/wechat-misinformation.php (accessed March 31, 2021).

37. Kaplan K. How the Moderna Pfizer COVID-19 vaccines compare - Los Angeles Times [Internet] (2021). Available online at: https://www.latimes.com/science/story/2020-12-15/how-the-covid-19-vaccines-from-moderna-and-pfizer-compare-head-to-head (accessed March 31, 2021).

38. Melley B, Press TA. Coronavirus rumors spread on an app cripple LA's Koreatown restaurants | Fortune (2021). Available online at: https://fortune.com/2020/03/01/coronavirus-rumors-koreatown-restaurants-los-angeles/ (accessed March 31, 2021).

39. Yang S. Misinformation in health matters can be lethal: Korea Herald contributor. The Straits Times (2021). Available online at: https://www.straitstimes.com/asia/misinformation-in-health-matters-can-be-lethal-korea-herald-contributor (accessed March 31, 2021).

40. Kim S. Consumers inundated with misinformation about coronavirus. The Korea Times (2021)]. Available online at: http://www.koreatimes.co.kr/www/nation/2021/03/119_286382.html (accessed March 31, 2021).

41. Corcoran C, Crowley BJ, Davis R. Disinformation Threat Watch. Cambridge, MA: Harvard Kennedy School (2019). p. 46.

42. Moon H, Lee GH. Evaluation of Korean-language COVID-19-related medical information on youtube: cross-sectional infodemiology study. J Med Internet Res. (2020) 22:e20775. doi: 10.2196/20775

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Viet Fact Check. Do you Need to Continue Wearing a Mask if You've Been Vaccinated for COVID-19? [Internet]. Viet Fact Check/Việt Kiêm Tin–Fighting misinformation by for VietAms, a project by PIVOT–Đê chồng lại các tin sai lệch tù' và nhá^m vào ngu'ò'i Mỹ gốc Việt, một dụ' án của PIVOT (2021). Available online at: https://vietfactcheck.org/2021/03/08/do-you-need-to-continue-wearing-a-mask-if-youve-been-vaccinated-for-covid-19/ (accessed March 31, 2021).

44. Viet Fact Check. Can you skip the COVID-19 vaccine if you've already had COVID-19? [Internet]. Viet Fact Check/Việt Kiêm Tin–Fighting misinformation by for VietAms, a project by PIVOT–Đê chồng lại các tin sai lệch tù' và nhá^m vào ngu'ò'i Mỹ gốc Việt, một dụ' án của PIVOT (2021). Available online at: https://vietfactcheck.org/2021/02/28/can-you-skip-the-covid-19-vaccine-if-youve-already-had-covid-19/ (accessed March 31, 2021).

45. Viet Fact Check. Do you really need to get both doses of the COVID-19 vaccine? [Internet]. Viet Fact Check/Việt Kiêm Tin–Fighting misinformation by for VietAms, a project by PIVOT–Đê chồng lại các tin sai lệch tù' và nhá^m vào ngu'ò'i Mỹ gốc Việt, một dụ' án của PIVOT (2021). Available online at: https://vietfactcheck.org/2021/03/15/do-you-really-need-to-get-both-doses-of-the-covid-19-vaccine/ (accessed March 31, 2021).

46. Viet Fact Check. About. Viet Fact Check/Việt Kiêm Tin–Fighting misinformation by for VietAms, a project by PIVOT–Đê chồng lại các tin sai lệch tù' và nhá^m vào ngu'ò'i Mỹ gốc Việt, một dụ' án của PIVOT (2021). Available online at: https://vietfactcheck.org (accessed March 31, 2021).

47. Herrera S. South Bay Vietnamese Americans Wrestle With COVID-19, Lack of Information–San José Spotlight (2021). Available online at: https://sanjosespotlight.com/south-bay-vietnamese-americans-wrestle-with-covid-19-lack-of-information/ (accessed March 31, 2021).

48. Rangarajan S. WhatsApp is a petri dish of coronavirus misinformation [Internet]. Mother Jones (2021). Available online at: https://www.motherjones.com/media/2020/03/whatsapp-coronavirus-misinformation/ (accessed March 31, 2021).

49. Kotecha S. Covid: Fake news “causing UK South Asians to reject jab.” BBC News 2021 Jan 15 (2021). Available online at: https://www.bbc.com/news/uk-55666407 (accessed March 31, 2021).

50. Lavery K. The COVID-19 Infodemic and Its Impact on Religious Communities in South Asia. Washington, DC: United States Commission on International Religious Freedom. Available online at: https://www.uscirf.gov/sites/default.files.COVID19%20Infodemic%20Impact%20in%20South%20Asia.pdf (accessed March 31, 2021).

51. Yadav KY, Thange I, Illhardt J, Siwakoti S, Shapiro JN. Old hatreds fuel online misinformation about COVID-19 in South Asia. Chicago, IL: Bulletin of the Atomic Scientists (2021). Available online at: https://thebulletin.org/2020/11/old-hatreds-fuel-online-misinformation-about-covid-19-in-south-asia/ (accessed March 31, 2021).

Google Scholar

52. Filipino Young Leaders Program. Tayo Help—Kababayan, We Are in This Together (2021). Available online at: https://www.tayohelp.com/hc/en-us (accessed March 31, 2021).

Google Scholar

53. National AA NH/PI Health Response Partnership. AANHPIHealthResponse (2021). Available online at: https://www.aa-nhpihealthresponse.org/aa-videos (accessed March 31, 2021).

54. Centers for an Informed Public. CIP to Explore Misinformation in Vietnamese-American Communities Through New Research Project. Seattle, WA: Center for an Informed Public (2021). Available online at: https://www.cip.uw.edu/2021/01/28/vietnamese-american-misinformation-research/ (accessed March 31, 2021).

55. University of California San Francisco. CAROM Study. Covid Associated misinfoRmation On Messaging apps (2021). Available online at: https://carom.ucsf.edu/home (accessed March 31, 2021).

56. Aghagoli G, Siff EJ, Tillman AC, Feller ER. COVID-19: misinformation can kill. Rhode Island Med J. (2013)103:12–4.

57. Vraga EK, Bode L. Correction as a solution for health misinformation on social media. Am J Public Health. (2020) 110:S278–80. doi: 10.2105/AJPH.2020.305916

PubMed Abstract | CrossRef Full Text | Google Scholar

58. World Health Organization. Immunizing the Public Against Misinformation (2021). Available online at: https://www.who.int/news-room/feature-stories/detail/immunizing-the-public-against-misinformation (accessed March 31, 2021).

59. Scherer LD, Pennycook G. Who is susceptible to online health misinformation? Am J Public Health. (2020) 110:S276–7. doi: 10.2105/AJPH.2020.305908

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Eysenbach G. How to fight an infodemic: the four pillars of infodemic management. J Med Internet Res. (2020) 22:e21820. doi: 10.2196/21820

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. (2006) 8:e9. doi: 10.2196/jmir.8.2.e9

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Li X, Liu Q. Social media use, ehealth literacy, disease knowledge, and preventive behaviors in the COVID-19 pandemic: cross-sectional study on Chinese netizens. J Med Internet Res. (2020) 22:e19684. doi: 10.2196/19684

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Media Literacies. Critical Media Project (2021). Available online at: https://criticalmediaproject.org/media-literacies/ (accessed March 31, 2021).

64. Woo BKP. Social media as an educational platform on hypertension for Chinese Americans. J Clin Hypertens Greenwich Conn. (2019) 21:862. doi: 10.1111/jch.13547

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Cohen C, Alber JM, Bleakley A, Grossman S, Freeland C, Alarcon K, et al. Social media for hepatitis B awareness: young adult and community leader perspectives. Health Promot Pract. (2019) 20:573–84. doi: 10.1177/1524839918765438

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Park BK, Nahm E-S, Rogers VE, Choi M, Friedmann E, Wilson M, et al. A facebook-based obesity prevention program for korean american adolescents: usability evaluation. J Pediatr Health Care Off Publ Natl Assoc Pediatr Nurse Assoc Pract. (2017) 31:57–66. doi: 10.1016/j.pedhc.2016.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Douglas KM, Sutton KM, Cichocka A. The psychology of conspiracy theories. Curr Dir Psychol Sci. (2017) 26:538–42. doi: 10.1177/0963721417718261

PubMed Abstract | CrossRef Full Text | Google Scholar

68. van Prooijen J-W, Douglas KM. Belief in conspiracy theories: basic principles of an emerging research domain. Eur J Soc Psychol. (2018) 48:897–908. doi: 10.1002/ejsp.2530

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Islam MS, Kamal AM, Kabir A, Southern DL, Khan SH, Hasan SMM, et al. COVID-19 vaccine rumors and conspiracy theories: the need for cognitive inoculation against misinformation to improve vaccine adherence. PLoS ONE. 16:e0251605. doi: 10.1371/journal.pone.0251605

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Abrams Z. Controlling the spread of misinformation. Monit Psychol. (2021) 52:44.