In response to the severe outbreak of COVID-19, the world is making every effort to promote vaccination. The Chinese government reports on the progress of the epidemic and related information about vaccines through the media, especially the official media, which has some influence on residents’ attitude and vaccination behavior. But few studies have discussed the potential public health impact of vaccines on social media and analyzed them alongside the impact of official media. In addition, from the perspective of SEIR models and the diffusion of knowledge, it is proposed that information about the epidemic situation and knowledge of vaccines before infection will prompt rural residents in central China to correctly understand vaccines and take the initiative to vaccinate. A survey of 1453 rural residents in Hubei, Henan, and Anhui provinces in central China showed that residents’ belief in official media coverage affecting vaccination behavior was established, while entertainment network platforms hindered the dissemination of health knowledge due to excessive entertainment information. In addition, perceived effectiveness, perceived security, perceived hazard, and knowledge related to vaccines can affect vaccination behavior. In this study, the influence factors of media information on vaccination behavior were discussed in theory and practice.
RizalARANordinSMAhmadWFW, et al.How does social media influence people to get vaccinated? the elaboration likelihood model of a person’s attitude and intention to get COVID-19 vaccines. Int J Environ Res Publ Health2022; 19(4): 2378.
2.
PangZMaX. What drives the vaccination intention against COVID-19? application of EPPM, TAM, and theories of risk assessment. Hum Vaccines2023; 19(1): 2180969.
3.
BorahPXiaoXLeeDKL. Narrative messages, knowledge seeking and COVID-19 vaccine intention: the moderating role of perceived behavioral control. Am J Health Promot2022; 36(6): 923–933.
4.
ShomronBDavidY. Protecting the community: how digital media promotes safer behavior during the Covid-19 pandemic in authoritarian communities-a case study of the ultra-orthodox community in Israel. New Media Soc2024; 26(3): 1484–1504.
5.
ZimdarsMCullinanMENaK. Alternative health groups on social media, misinformation, and the (de)stabilization of ontological security. New Media Soc2024; 26(10): 6059–6076.
6.
CorbuNBârgăoanuAUdreaG, et al.Do conspiracy theories circulating in the media or their debunking affect people’s trust in the media?Soc Sci Inf2023; 62(3): 345–366.
7.
XiaoXZ. Let’s verify and rectify! examining the nuanced influence of risk appraisal and norms in combatting misinformation. New Media Soc2024; 26(7): 3786–3809.
8.
AragawGMAntenehTAAbiySA, et al.Parents’ willingness to vaccinate their daughters with human papillomavirus vaccine and associated factors in Debretabor town, Northwest Ethiopia: a community-based cross-sectional study. Hum Vaccines2023; 19(1): 2176082.
9.
El-ElimatTAbuAlSamenMMAlmomaniBA, et al.Acceptance and attitudes toward COVID-19 vaccines: a cross-sectional study from Jordan. PLoS One2021; 16(4): e0250555.
10.
SongCZhouSHuntK, et al.Comprehensive evolution analysis of public perceptions related to pediatric care: a Sina Weibo case study (2013–2020). Sage Open2022; 12(1): 21582440221.
11.
XiaoXZBorahPSuY. The dangers of blind trust: examining the interplay among social media news use, misinformation identification, and news trust on conspiracy beliefs. Publ Understand Sci2021; 30(8): 977–992.
12.
LiuGGTangCXLiuYH, et al.Will high-speed railway influence the healthcare seeking behaviour of patients? quasi-experimental evidence from China. Health Pol Plann2021; 36(10): 1633–1643.
13.
CampeauK. Vaccination double bind: a study of pregnancy and COVID-19 vaccine decision-making. Rhetor Soc Q2022; 52(5): 494–509.
14.
CinelliMQuattrociocchiWGaleazziA, et al.The COVID-19 social media infodemic. Sci Rep2020; 10: 16598.
15.
MelchiorCOliveiraM. Health-related fake news on social media platforms: a systematic literature review. New Media Soc2022; 24(6): 1500–1522.
16.
MelotBBordinPBertoniC, et al.Knowledge, attitudes and practices about vaccination in Trentino, Italy in 2019. Hum Vaccines2021; 17(1): 259–268.
17.
AcharyaSAechtnerTDhirS, et al.Vaccine hesitancy: a structured review from a behavioral perspective (2015–2022). Psychol Health Med2025; 30(1): 119–147.
18.
YanJWeiJOuYangZ, et al.The influence of parents’ information processing on childhood vaccine acceptance after a vaccine crisis in China. Health Risk Soc2019; 21(5–6): 284–303.
19.
HongSJKimY. Relationship of exposure to contradictory information and information insufficiency to decision-making about HPV vaccination among South Korean college women. J Health Commun2023; 28(3): 156–167.
20.
KrithikaVVijaya SunderM. From hesitancy to acceptance: an interpretative approach to unravel the vaccination motivation among the rural population. Health Commun2024; 40: 1–13.
21.
LeeJHameleersMShinSY. The emotional effects of multimodal disinformation: how multimodality, issue relevance, and anxiety affect misperceptions about the flu vaccine. New Media Soc2024; 26(12): 6838–6860.
22.
PengLGuoYHuD. Knowledge framing effect on public’s intention to receive the COVID-19 vaccination in China. Vaccines (Basel)2021; 9(9): 995.
23.
GongZPTangZWLiJ. What strategy is better for promoting COVID-19 vaccination? a comparison between gain-framed, loss-framed, and altruistic messages. Ann Behav Med2022; 56(4): 325–331.
24.
ZuoCZhuFPMengZY, et al.Analyzing the COVID-19 vaccination behavior based on epidemic model with awareness-information. Infect Genet Evol2022; 98: 105218.
25.
BajiyaVPTripathiJPKakkarV, et al.Global dynamics of a multi-group SEIR pandemic model with infection age. Chin Ann Math B2021; 42(6): 833–860.
26.
El HajjiMAlbargiAH. A mathematical investigation of an SVEIR pandemic model for the measles propagation. Math Biosci Eng2022; 19(3): 2853–2875.
27.
KiteJGrunseitABohn-GoldbaumE, et al.A systematic search and review of adult-targeted overweight and obesity prevention mass media campaigns and their evaluation: 2000–2017. J Health Commun2018; 23(2): 207–232.
28.
HuynhGTranTTNguyenHTN, et al.COVID-19 vaccination intention among healthcare workers in Vietnam. Asian Pac J Tropical Med2021; 14(4): 159–164.
29.
AjinaASJavedHMUAliS, et al.Fake or fact news? investigating users’ online fake news sharing behavior: the moderating role of Social Networking Sites (SNS) dependency. INT J Hum-Comput Int2023; 40(14): 3607–3621.
30.
HuangJKangHLuM, et al.Stability analysis of an age-structured pandemic model with vaccination and standard incidence rate. Nonlinear Anal-Real2022; 66: 103525.
31.
PrachandVNMilnerRAngelosP, et al.Medically necessary, time-sensitive procedures: scoring system to ethically and efficiently manage resource scarcity and provider risk during the COVID-19 pandemic. J Am Coll Surg2020; 231(2): 281–288.
32.
RuDWenHZhangY. A pre-generation of emergency reference plan model of public health emergencies with case-based reasoning. Risk Manag Healthc Policy2022; 15: 2371–2388.
33.
HarrisMBLesaniMLiuZY, et al.Molecular networking in infectious disease models. Methods Enzymol2022; 663: 341–375.
34.
MengLZhuWDaiB. Generalized SEIR pandemic model for COVID-19 in a multi patch environment. Discrete Dynam Nat Soc2021; 1: 5401253.
35.
MisraAKRaiRKTiwariPK, et al.Delay in budget allocation for vaccination and awareness induces chaos in ail infectious disease model. J Biol Dynam2021; 15(1): 395–429.
36.
BorahP. Message framing and COVID- 19 vaccination intention: moderating roles of partisan media use and pre-attitudes about vaccination. Curr Psychol2022; 42(34): 30686–30695.
37.
XuYMargolinDNiederdeppeJ. Testing strategies to increase source credibility through strategic message design in the context of vaccination and vaccine hesitancy. Health Commun2021; 36(11): 1354–1367.
38.
BlankGReisdorfB. Digital inequalities and public health during COVID-19: media dependency and vaccination. Inf Commun Soc2023; 26(5): 1045–1065.
39.
SieverdingMZintelSSchmidtL, et al.Explaining the intention to get vaccinated against COVID-19: general attitudes towards vaccination and predictors from health behavior theories. Psychol Health Med2023; 28(1): 161–170.
40.
OhSHLeeCJParkA. Trust matters: the effects of social media use on the public’s health policy support through (mis)beliefs in the context of HPV vaccination. Health Commun2022; 38(12): 2628–2639.
41.
El TantawiMBakhurjiEAl-AnsariA, et al.Indicators of adolescents’ preference to receive oral health information using social media. Acta Odontol Scand2019; 77(3): 213–218.
42.
ShokoohyarSGhomiVGoriziAJ, et al.Impact of COVID-19 outbreak and vaccination on ride-sharing services: a social media analysis. Transp Lett2023; 16(6): 527–541.
43.
LimayeRJHolroydTABluntM, et al.Social media strategies to affect vaccine acceptance: a systematic literature review. Expert Rev Vaccines2021; 20(8): 959–973.
44.
VragaETullyMBodeL. Assessing the relative merits of news literacy and corrections in responding to misinformation on Twitter. New Media Soc2022; 24(10): 2354–2371.
45.
RomerDPattersonSJamiesonPE, et al.What caused the narrowing of black-white COVID-19 vaccination disparity in the US? a test of 5 hypotheses. J Health Commun2024; 29(6): 371–382.
46.
RazaSHOgadimmaECShahAA, et al.Improving community health message reception through digital journalistic practices: mixed-method evidence on health preventive behaviors and health podcast framing for emerging health issues. Journalism2023; 25(9): 1956–1976.
47.
WanAJiangM. Can virtual influencers replace human influencers in live-streaming e-commerce? an exploratory study from practitioners’ and consumers’ perspectives. J Curr Issues Res Advert2023; 44(3): 332–372.
48.
ShenAK. Finding a way to address a wicked problem: vaccines, vaccination, and a shared understanding. Hum Vaccines2020; 16(5): 1030–1033.
49.
YangC. Exploring communication strategies to encourage COVID-19 vaccination: motivation based message appeals, incidental emotions, and risk perception. Health Commun2022; 38(9): 1731–1743.
50.
FengSLinSMaL, et al.Insufficient knowledge and vaccination practice of inflammatory bowel disease patients in the people’s Republic of China. Patient Prefer Adherence2020; 14: 1513–1521.
51.
SeoHBlombergMAltschwagerD, et al.Vulnerable populations and misinformation: a mixed-methods approach to underserved older adults’ online information assessment. New Media Soc2021; 23(7): 2012–2033.
52.
ParkMSParkJKimH, et al.Measuring the impacts of quantity and trustworthiness of information on COVID-19 vaccination intent. J Assoc Inf Sci Tech2023; 74(7): 846–865.
53.
LaforetPEBaschCHTangH. Understanding the content of COVID-19 vaccination and pregnancy videos on YouTube: an analysis of videos published at the start of the vaccine rollout. Hum Vaccines2022; 18(5): 2066935.
