ArticleTelematics and informatics2023
Impact of social media news on COVID-19 vaccine hesitancy and vaccination behavior.
Article in Telematics and informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Determinants of non-compliance with additional booster doses of the SARS-CoV-2 vaccine in people living with HIV (PWH): An observational study based on a behavioral and epidemiological survey in Rome (Italy).Human vaccines & immunotherapeutics · 2025Observational
- Unveiling the complexity of vaccine hesitancy: A narrative review focusing on dengue vaccination.Human vaccines & immunotherapeutics · 2025Review
- COVID-19 vaccine attitudes and news consumption patterns among pregnant and postpartum individuals in an urban setting.Case reports in perinatal medicine · 2025Article
- How risk communication affects public trust in government: the moderating role of policy expectations.Frontiers in public health · 2025Article
- Family protection motivation and economic vulnerability: a network analysis of public influenza risk perception, education and mitigation strategies in China.Frontiers in public health · 2025Article
- Exploring the willingness to pay for HPV vaccines and price sensitivity among Chinese college students: the impact of health literacy and vaccine hesitancy.Frontiers in public health · 2025Article
- Social media use and vaccination among Democrats and Republicans: Informational and normative influences.Social science & medicine (1982) · 2024Article
- Natural Language Processing-Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation.JMIR medical informatics · 2024Article
- Social media influence on COVID-19 vaccine perceptions among University students: a Malawi case study.BMC public health · 2024Article
- Identifying influential factors using machine learning techniques on the intention to receive a COVID-19 booster dose and vaccine fatigue among partially vaccinated individuals.Discover public health · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to take advantage of the power of social media to promote vaccination, this study reveals the mechanisms of positive and negative impacts of social media news on vaccine hesitancy and vaccination behavior. Based on the stimulus-organism-response (S-O-R) framework, we developed a research model to understand the effects of vaccine safety news and risk news from social media (external stimuli) on individuals' psychological organism (i.e., safety perception and risk perception) and consequent behavioral response, vaccine hesitancy and vaccination behavior. The proposed model was tested by partial least square structural equation modeling (PLS-SEM) on a sample gathered in China from September 2021 to November 2021 and from February 2022 to April 2022 (valid responses = 1579). The results found that the relationship between vaccine risk news from social media and risk perception was higher than the relationship between vaccine safety news from social media and safety perception. Individuals are more sensitive to vaccine risk news than safety news on social media. Moreover, both safety perception and risk perception explained the critical psychological mechanisms behind vaccine hesitancy. Interestingly, ego network density mitigated the effect of safety news on safety perception and the effect of risk news on risk perception. The findings contribute to the S-O-R model, the research on social media effects, and the literature on vaccination attitudes and behaviors. This study also informs public health officials about leveraging the power of social media to motivate the public to accept the COVID-19 vaccines.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.