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Exploring How Social Media Influences COVID-19 Vaccination Intention in China: The Mediating Effect of Perceived Risk, Negative Emotion, and Subjective Norms

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Comparative Studies on Pandemic Control Policies and the Resilience of Society

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Abstract

This study investigates the effects of social media use on COVID-19 vaccination intentions in China. It selects perceived risk, negative emotion, and subjective norms in a model to explore their mediating effects. A total of 1200 Chinese adults filled out an online questionnaire using the quota sampling method. Results suggest that social media use promotes COVID-19 vaccination willingness by reducing perceived risk and negative emotion and increasing subjective norms. This study aims to provide a reference for improving intentions relating to the COVID-19 vaccine, booster shots, and other types of vaccination.

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References

  • Ajzen, I. (2011). The theory of planned behavior: Reactions and reflections. Psychology and Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995

    Article  Google Scholar 

  • Alagoz, O., Sethi, A. K., Patterson, B. W., Churpek, M., Alhanaee, G., Scaria, E., & Safdar, N. (2021). The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach. PLoS One, 16, 1–28. https://doi.org/10.1371/journal.pone.0254456

  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40, 471. https://pdfs.semanticscholar.org/ab83/87ae29317c651a129efc7a2297bc5f348a95.pdf

  • Askelson, N. M., Campo, S., Lowe, J. B., Smith, S., Dennis, L. K., & Andsager, J. (2010). Using the theory of planned behavior to predict mothers’ intentions to vaccinate their daughters against HPV. Journal of School Nursing, 26(3), 194–202. https://doi.org/10.1177/1059840510366022

    Article  Google Scholar 

  • Asmundson, G. J. G., & Taylor, S. (2020). Chronophobia: Fear and the 2019-nCoV outbreak. Journal of Anxiety Disorders, 70(February). https://doi.org/10.1016/j.janxdis.2020.102196

  • Benis, A., Khodos, A., Ran, S., Levner, E., & Ashkenazi, S. (2021a). Social media engagement and influenza vaccination during the COVID-19 pandemic: Cross-sectional survey study. Journal of Medical Internet Research, 23(3), 1–15. https://doi.org/10.2196/25977

    Article  Google Scholar 

  • Benis, A., Seidmann, A., & Ashkenazi, S. (2021b). Reasons for taking the COVID-19 vaccine by US social media users. Vaccines, 9(4), 1–17. https://doi.org/10.3390/vaccines9040315

    Article  Google Scholar 

  • Carr, C. T., & Hayes, R. A. (2015). Social media: Defining, developing, and divining. Atlantic Journal of Communication, 23(1), 46–65. https://doi.org/10.1080/15456870.2015.972282

    Article  Google Scholar 

  • Chen, H., Li, X., Gao, J., Liu, X., Mao, Y., Wang, R., Zheng, P., Xiao, Q., Jia, Y., Fu, H., & Dai, J. (2021). Health belief model perspective on the control of COVID-19 vaccine hesitancy and the promotion of vaccination in china: Web-based cross-sectional study. Journal of Medical Internet Research, 23(9). https://doi.org/10.2196/29329

  • Chou, W. Y. S., Gaysynsky, A., & Cappella, J. N. (2020). Where we go from here: Health misinformation on social media. American Journal of Public Health, 110, S273–S275. https://doi.org/10.2105/AJPH.2020.305905

  • Crawshaw, J., Konnyu, K., Castillo, G., van Allen, Z., Grimshaw, J., & Presseau, J. (2021). Factors affecting healthcare worker COVID-19 vaccination acceptance and uptake among the general public: A living behavioral science evidence synthesis. McMaster Health Forum. https://www.researchgate.net/profile/Jacob-Crawshaw/publication/353044581_HCW_Vaccination_Living_Behavioural_Science_Evidence_Synthesis_v2_May_18/links/60e5daee1c28af345850c5c5/HCW-Vaccination-Living-Behavioural-Science-Evidence-Synthesis-v2-May-18.pdf

  • Featherstone, J. D., & Zhang, J. (2020). Feeling angry: The effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication, 25(9), 692–702. https://doi.org/10.1080/10810730.2020.1838671

    Article  Google Scholar 

  • Glanz, J. M., Wagner, N. M., Narwaney, K. J., Kraus, C. R., Shoup, J. A., Xu, S., O’Leary, S. T., Omer, S. B., Gleason, K. S., & Daley, M. F. (2017). Web-based social media intervention to increase vaccine acceptance: A randomized controlled trial. Pediatrics, 140(6). https://doi.org/10.1542/peds.2017-1117

  • Han, R., & Cheng, Y. (2020). The influence of norm perception on pro-environmental behavior: A comparison between the moderating roles of traditional media and social media. International Journal of Environmental Research and Public Health, 17(19), 1–20. https://doi.org/10.3390/ijerph17197164

    Article  Google Scholar 

  • Huo, C., Zhang, M., & Ma, F. (2018). Factors influencing people’s health knowledge adoption in social media: The mediating effect of trust and the moderating effect of health threat. Library Hi Tech, 36(1), 129–151. https://doi.org/10.1108/LHT-04-2017-0074

    Article  Google Scholar 

  • Hyvönen, E., Alonen, M., Ikkala, E., & Mäkelä, E. (2014). Life stories as event-based linked data: Case semantic national biography. CEUR Workshop Proceedings, 1272, 1–4.

    Google Scholar 

  • Im Kampe, E. O., Lehfeld, A. S., Buda, S., Buchholz, U., & Haas, W. (2020). Surveillance of COVID-19 school outbreaks, Germany, March to August 2020. Eurosurveillance, 25(38). https://doi.org/10.2807/1560-7917.ES.2020.25.38.2001645

  • Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15(5), 411–432. https://doi.org/10.1016/S0883-9026(98)00033-0

    Article  Google Scholar 

  • Larson, H. J., Cooper, L. Z., Eskola, J., Katz, S. L., & Ratzan, S. (2011). Addressing the vaccine confidence gap. The Lancet, 378(9790), 526–535. https://doi.org/10.1016/S0140-6736(11)60678-8

    Article  Google Scholar 

  • Lee, S., Yamamoto, M., & Tandoc, E. C. (2021). Why people who know less think they know about COVID-19: Evidence from US and Singapore. Journalism and Mass Communication Quarterly. https://doi.org/10.1177/10776990211049460

    Article  Google Scholar 

  • Lin, Y., Hu, Z., Zhao, Q., Alias, H., Danaee, M., & Wong, L. P. (2020). Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China. PLoS Neglected Tropical Diseases, 14(12), e0008961. https://doi.org/10.1371/journal.pntd.0008961

    Article  Google Scholar 

  • Liu, L., Xie, J., Li, K., & Ji, S. (2020). Exploring how media influence preventive behavior and excessive preventive intention during the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 17(21), 1–27. https://doi.org/10.3390/ijerph17217990

    Article  Google Scholar 

  • Luo, S., Xin, M., Wang, S., Zhao, J., Zhang, G., Li, L., Li, L., & Lau, J. T. F. (2021, May). Behavioral intention of receiving COVID-19 vaccination, social media exposures, and peer discussions in China. Epidemiology and Infection. https://doi.org/10.1017/S0950268821000947

  • Marcelin, J. R., Cortés-Penfield, N., Del Rio, C., Desai, A., Echenique, I., Granwehr, B., Lawal, F., Kuriakose, K., Lee, D. H., Malinis, M., Ruidera, D., Siddiqui, J., Spec, A., & Swartz, T. H. (2021). How the field of infectious diseases can leverage digital strategy and social media use during a pandemic. Open Forum Infectious Diseases, 8(2), 1–6. https://doi.org/10.1093/ofid/ofab027

    Article  Google Scholar 

  • Mckinley, C. J., & Lauby, F. (2021). Anti-vaccine beliefs and COVID-19 information seeking on social media: Examining processes influencing COVID-19 beliefs and preventative actions. International Journal of Communication, 15, 4252–4274. http://ijoc.org.

  • Mo, P. K. H., Luo, S., Wang, S., Zhao, J., Zhang, G., Li, L., Li, L., Xie, L., & Lau, J. T. F. (2021). Intention to receive the COVID-19 vaccination in china: Application of the diffusion of innovations theory and the moderating role of openness to experience. Vaccines, 9(2), 1–15. https://doi.org/10.3390/vaccines9020129

    Article  Google Scholar 

  • Morrow, B. H. (2009, July). Risk behavior and risk communication: synthesis and expert interviews (pp. 1–52). Final Report for the NOAA Coastal Services Center.

    Google Scholar 

  • Morton, T. A., & Duck, J. M. (2001). Communication and health beliefs: Mass and interpersonal influences on perceptions of risk to self and others. Communication Research, 28(5), 602–626. https://doi.org/10.1177/009365001028005002

  • Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020). Social media and vaccine hesitancy: New updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines and Immunotherapeutics, 16(11), 2586–2593. https://doi.org/10.1080/21645515.2020.1780846

    Article  Google Scholar 

  • Qin, N., Shi, S., Duan, Y., Ma, G., Li, X., Shen, Z., Zhang, S., Luo, A., & Zhong, Z. (2022). Social media use, eHealth literacy, knowledge, attitudes, and practices toward COVID-19 vaccination among chinese college students in the phase of regular epidemic prevention and control: A cross-sectional survey. Frontiers in Public Health, 9(January). https://doi.org/10.3389/fpubh.2021.754904

  • Rakhmadhani, I., Yulida, E., Fahrina, & Jaelani, A. K. (2021). COVID-19 vaccine hesitancy on society and related legal regulations. Proceedings of the International Conference on Environmental and Energy Policy (ICEEP 2021), 583, 281–285. https://doi.org/10.2991/assehr.k.211014.061

  • Ratanasiripong, N. T., Sri-Umporn, S., Kathalae, D., Hanklang, S., & Ratanasiripong, P. (2018). Human papillomavirus (HPV) vaccination and factors related to intention to obtain the vaccine among young college women in Thailand. Journal of Health Research, 32(2), 142–151. https://doi.org/10.1108/JHR-01-2018-018

    Article  Google Scholar 

  • Rivis, A., & Sheeran, P. (2017). Descriptive norms as an additional predictor in the theory of planned behavior: A meta-analysis. Planned Behavior: THe Relationship between Human Thought and Action, 43–62,. https://doi.org/10.4324/9781315126449-4

  • Rosenstock, I. M., Strecher, V. J., Becker, M. H. (1988). Social learning theory and the health belief model. Corporate Ownership and Control, 13(2), 393–401. https://doi.org/10.22495/cocv13i3c2p11

  • Rubinstein, H., Marcu, A., Yardley, L., & Michie, S. (2015). Public preferences for vaccination and antiviral medicines under different pandemic flu outbreak scenarios. BMC Public Health, 15(1), 1–13. https://doi.org/10.1186/s12889-015-1541-8

    Article  Google Scholar 

  • Slovic, P. (1987). Risk perception. Science, 236(4799), 280–285.

    Article  Google Scholar 

  • Sooknanan, J., & Comissiong, D. M. G. (2020). Trending on social media: Integrating social media into infectious disease dynamics. Bulletin of Mathematical Biology, 82(7), 1–11. https://doi.org/10.1007/s11538-020-00757-4

    Article  Google Scholar 

  • Tang, L., Bie, B., Park, S. E., & Zhi, D. (2018). Social media and outbreaks of emerging infectious diseases: A systematic review of literature. American Journal of Infection Control, 46(9), 962–972. https://doi.org/10.1016/j.ajic.2018.02.010

    Article  Google Scholar 

  • Thaker, J. (2020). Planning for a COVID-19 vaccination campaign: The role of social norms, trust, knowledge, and vaccine attitudes.

    Google Scholar 

  • Thaker, J. (2021). The persistence of vaccine hesitancy: COVID-19 vaccination intention in New Zealand. Journal of Health Communication, 26(2), 104–111. https://doi.org/10.1080/10810730.2021.1899346

    Article  Google Scholar 

  • Vahedi, Z., Sibalis, A., & Sutherland, J. E. (2018). Are media literacy interventions effective at changing attitudes and intentions towards risky health behaviors in adolescents? A Meta-Analytic Review. Journal of Adolescence, 67(July), 140–152. https://doi.org/10.1016/j.adolescence.2018.06.007

    Article  Google Scholar 

  • Vanderpool, R. C., Gaysynsky, A., & Chou, W. Y. S. (2020). Using a global pandemic as a teachable moment to promote vaccine literacy and build resilience to misinformation. American Journal of Public Health, 110, S284–S285. https://doi.org/10.2105/AJPH.2020.305906

    Article  Google Scholar 

  • Yıldırım, M., & Güler, A. (2020, January). Positivity explains how COVID-19 perceived risk increases death distress and reduces happiness. Personality and Individual Differences, 168, 110347.

    Google Scholar 

  • Yong, S. D., & Jordan, A. H. (2017). The influence of social networking photos on social norms and sexual health behaviors. Clinical Infectious Diseases.

    Google Scholar 

  • Zenk, L., Steiner, G., Cunha, M. P., Laubichler, M. D., Bertau, M., Kainz, M. J., Jäger, C., & Schernhammer, E. S. (2020). Fast response to superspreading: Uncertainty and complexity in the context of COVID-19. International Journal of Environmental Research and Public Health, 17(21), 1–13. https://doi.org/10.3390/ijerph17217884

  • Zhao, Y.-M., Liu, L., Sun, J., Yan, W., Yuan, K., Zheng, Y.-B., Lu, Z.-A., Liu, L., Ni, S.-Y., Su, S.-Z., Zhu, X.-M., Zeng, N., Gong, Y.-M., Wu, P., Ran, M.-S., Leng, Y., Shi, J., Shi, L., Lu, L., & Bao, Y.-P. (2021). Public willingness and determinants of COVID-19 vaccination at the initial stage of mass vaccination in China. Vaccines, 9(10), 1172. https://doi.org/10.3390/vaccines9101172

    Article  Google Scholar 

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Authors and Affiliations

  1. Beijing Normal University-Hong Kong Baptist University, United International College, Zhuhai, China

    Ye Tao, Chuanli Xia, Hong Zhao & Ning Liu

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  1. Ye Tao
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  2. Chuanli Xia
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  3. Hong Zhao
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  4. Ning Liu
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Correspondence to Ye Tao .

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Editors and Affiliations

  1. Faculty of Humanities and Social Sciences, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Simon X. B. Zhao

  2. Faculty of Humanities and Social Sciences, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Kam Tong Chan

  3. Faculty of Humanities and Social Sciences, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Selçuk Çolakoğlu

  4. Faculty of Humanities and Social Sciences, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Qiaoyun Zhang

  5. Faculty of Humanities and Social Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China

    Bo Yan

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Tao, Y., Xia, C., Zhao, H., Liu, N. (2023). Exploring How Social Media Influences COVID-19 Vaccination Intention in China: The Mediating Effect of Perceived Risk, Negative Emotion, and Subjective Norms. In: Zhao, S.X.B., Chan, K.T., Çolakoğlu, S., Zhang, Q., Yan, B. (eds) Comparative Studies on Pandemic Control Policies and the Resilience of Society. Springer, Singapore. https://doi.org/10.1007/978-981-19-9993-2_13

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  • DOI: https://doi.org/10.1007/978-981-19-9993-2_13

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