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Videos, Views, and Vaccines: Evaluating the Quality of COVID-19 Communications on YouTube

Published online by Cambridge University Press:  31 August 2021

Harleen K. Marwah ,
Kyle Carlson ,
Natalie A. Rosseau ,
Katherine C. Chretien ,
Terry Kind  and
Hope T. Jackson
Harleen K. Marwah
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA
Kyle Carlson*
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA
Natalie A. Rosseau
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA
Katherine C. Chretien
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA The Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
Terry Kind
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA
Hope T. Jackson
Affiliation:
The George Washington University, School of Medicine and Health Sciences, Washington, DC, USA
*
Corresponding Author: Kyle Carlson, Email: dkylecarlson@gwu.edu
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Abstract

Objectives:

As the coronavirus disease 2019 (COVID-19) vaccine is introduced, it is critical to recognize that public opinion on vaccines is largely influenced by health communications, with YouTube being a major source of information and misinformation. This analysis graded the accuracy, quality, and reliability of the most viewed YouTube videos depicting COVID-19 and vaccinations over a 6-mo period.

Methods:

We collected hyperlinks for the 150 most viewed YouTube videos discussing COVID-19 from January through June 2020. Closed captioning data were searched for the term “vaccine,” yielding 32 videos. This sample was evaluated for quality, accuracy, and reliability using a rubric that incorporated existing instruments: Global Quality Scale (GQS), JAMA Benchmark Criteria, and DISCERN.

Results:

These 32 videos had 139,764,188 views at the time of data collection. The majority of videos received low scores, with network news sources receiving the lowest scores overall.

Conclusions:

The overall quality of COVID-19 YouTube videos related to vaccines may be low and raises a precautionary alert for the public consuming these videos and for health-care providers working to provide the best information to their patients. Existing scoring tools may not capture the complexities of social media. New tools could allow for a better understanding of the modern landscape of health communications.

Keywords

COVID-19vaccinationssocial mediaYouTubequality
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e42
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc

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References

World Health Organization. Pneumonia of unknown cause - China. https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-china/en/. Accessed July 19, 2021.Google Scholar
Green, A. Li Wenliang. Lancet . 2020;395(10225):682. doi:10.1016/S0140-6736(20)30382-2.CrossRefGoogle Scholar
The World Bank. Individuals using the Internet. https://data.worldbank.org/indicator/IT.NET.USER.ZS. Accessed July 19, 2021.Google Scholar
Fox, S, Duggan, M. Health Online 2013. Pew Research Center. National Survey by the Pew Research Center’s Internet and American Life Project. https://www.pewresearch.org/internet/2013/01/15/health-online-2013. Published online 2013. Accessed October 3, 2021.Google Scholar
Cuan-Baltazar, JY, Muñoz-Perez, MJ, Robledo-Vega, C, et al. Misinformation of COVID-19 on the internet: infodemiology study. JMIR Public Health Surveill. 2020;6(2):e18444.CrossRefGoogle ScholarPubMed
Ghebreyesus, TA. Munich Security Conference 2020. https://www.who.int/director-general/speeches/detail/munich-security-conference. Accessed July 19, 2021.Google Scholar
YouTube. YouTube for Press. https://blog.youtube/press/. Accessed July 19, 2021.Google Scholar
Mitchell, A, Gottfried, J, Kiley, J, et al. Political polarization & media habits. Pew Research Center: Journalism and Media. Published online 2014. Political Polarization & Media Habits | Pew Research Center. Accessed September 20, 2021.Google Scholar
Aydin, MF, Aydin, MA. Quality and reliability of information available on YouTube and Google pertaining gastroesophageal reflux disease. Int J Med Inform. 2020;137:104107.CrossRefGoogle ScholarPubMed
Li, HO-Y, Bailey, A, Huynh, D, et al. YouTube as a source of information on COVID-19: a pandemic of misinformation? BMJ Glob Health. 2020;5(5):e002604.Google ScholarPubMed
Pandey, A, Patni, N, Singh, M, et al. YouTube as a source of information on the H1N1 influenza pandemic. Am J Prev Med. 2010;38(3):e1-e3.CrossRefGoogle ScholarPubMed
Pathak, R, Poudel, DR, Karmacharya, P, et al. YouTube as a source of information on Ebola virus disease. N Am J Med Sci. 2015;7(7):306-309.CrossRefGoogle ScholarPubMed
Bora, K, Das, D, Barman, B, et al. Are internet videos useful sources of information during global public health emergencies? A case study of YouTube videos during the 2015–16 Zika virus pandemic. Pathog Glob Health. 2018;112(6):320-328.Google ScholarPubMed
Centers for Disease Control and Prevention. Flu vaccination coverage, United States, 2018–19 influenza season. 2019. Published online 2020. Flu Vaccination Coverage, United States, 2018–19 Influenza Season | FluVaxView | Seasonal Influenza (Flu) | CDC. Accessed September 20, 2021.Google Scholar
Basch, C, Zybert, P, Reeves, R, et al. What do popular YouTubeTM videos say about vaccines? Child Care Health Dev. 2017;43(4):499-503.CrossRefGoogle ScholarPubMed
Basch, CH, Hillyer, GC, Zagnit, EA, et al. YouTube coverage of COVID-19 vaccine development: implications for awareness and uptake. Hum Vaccin Immunother. 2020;16(11):2582-2585.CrossRefGoogle ScholarPubMed
Chen, W. Promise and challenges in the development of COVID-19 vaccines. Hum Vaccin Immunother. 2020;16(11):2604-2608.CrossRefGoogle ScholarPubMed
Macias Gil, R, Marcelin, JR, Zuniga-Blanco, B, et al. COVID-19 pandemic: disparate health impact on the Hispanic/Latinx population in the United States. J Infect Dis. 2020;222(10):1592-1595.CrossRefGoogle ScholarPubMed
Torres, TS, Hoagland, B, Bezerra, DR, et al. Impact of COVID-19 pandemic on sexual minority populations in Brazil: an analysis of social/racial disparities in maintaining social distancing and a description of sexual behavior. AIDS Behav. 2021;25(1):73-84.CrossRefGoogle Scholar
Adhikari, S, Pantaleo, NP, Feldman, JM, et al. Assessment of community-level disparities in coronavirus disease 2019 (COVID-19) infections and deaths in large US metropolitan areas. JAMA Netw Open. 2020;3(7):e2016938.CrossRefGoogle ScholarPubMed
Kim, EJ, Marrast, L, Conigliaro, J. COVID-19: magnifying the effect of health disparities. J Gen Intern Med. 2020;35(8):2441-2442.CrossRefGoogle ScholarPubMed
Shadmi, E, Chen, Y, Dourado, I, et al. Health equity and COVID-19: global perspectives. Int J Equity Health. 2020;19(1):1-16.CrossRefGoogle ScholarPubMed
Turner-Musa, J, Ajayi, O, Kemp, L. Examining Social Determinants of Health, Stigma, and COVID-19 Disparities. Vol 8. Basel, Switzerland: Multidisciplinary Digital Publishing Institute; 2020:168.Google ScholarPubMed
Chowkwanyun, M, Reed, AL Jr Racial health disparities and Covid-19—caution and context. N Engl J Med. 2020;383(3):201-203.Google ScholarPubMed
Chung, RY-N, Dong, D, Li, MM. Socioeconomic gradient in health and the covid-19 outbreak. BMJ. 2020;369:m1329.CrossRefGoogle ScholarPubMed
Wang, Z, Tang, K. Combating COVID-19: health equity matters. Nat Med. 2020;26(4):458-458.CrossRefGoogle ScholarPubMed
Kunze, KN, Krivicich, LM, Verma, NN, et al. Quality of online video resources concerning patient education for the meniscus: a YouTube-based quality-control study. Arthroscopy. 2020;36(1):233-238.CrossRefGoogle ScholarPubMed
Singh, AG, Singh, S, Singh, PP. YouTube for information on rheumatoid arthritis—a wakeup call? J Rheumatol. 2012;39(5):899-903.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. Vaccines & immunizations. https://www.cdc.gov/vaccines/index.html. Accessed July 19, 2021.Google Scholar
World Health Organization. Vaccines and immunization. https://www.who.int/health-topics/vaccines-and-immunization#tab=tab_1. Accessed July 19, 2021.Google Scholar
Silberg, WM, Lundberg, GD, Musacchio, RA. Assessing, controlling, and assuring the quality of medical information on the Internet: Caveant lector et viewor—Let the reader and viewer beware. JAMA. 1997;277(15):1244-1245.CrossRefGoogle ScholarPubMed
Charnock, D, Shepperd, S, Needham, G, et al. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health. 1999;53(2):105-111.CrossRefGoogle ScholarPubMed
Stellefson, M, Chaney, B, Ochipa, K, et al. YouTube as a source of chronic obstructive pulmonary disease patient education: a social media content analysis. Chron Respir Dis. 2014;11(2):61-71.CrossRefGoogle ScholarPubMed
Cassidy, JT, Baker, JF. Orthopaedic patient information on the World Wide Web: an essential review. J Bone Joint Surg. 2016;98(4):325-338.CrossRefGoogle ScholarPubMed
Harris, PA, Taylor, R, Minor, BL, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019;95:103208.CrossRefGoogle ScholarPubMed
Harris, PA, Taylor, R, Thielke, R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381.CrossRefGoogle ScholarPubMed
Gao, J, Zheng, P, Jia, Y, et al. Mental health problems and social media exposure during COVID-19 outbreak. PLoS One. 2020;15(4):e0231924.CrossRefGoogle ScholarPubMed
Madathil, KC, Rivera-Rodriguez, AJ, Greenstein, JS, et al. Healthcare information on YouTube: a systematic review. Health Inform J. 2015;21(3):173-194.CrossRefGoogle ScholarPubMed