ArticleHuman vaccines & immunotherapeutics2023
Spreading of misinformation on mass media and digital platforms regarding vaccines. A systematic scoping review on stakeholders, policymakers, and sentiments/behavior of Italian consumers.
Article in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Review
- Psychosocial and Social Security Risks Linked to Vaccine Misinformation in Romania: Implications for Vaccination Acceptance and Public Policy.Behavioral sciences (Basel, Switzerland) · 2026Article
- Quality and reliability of knee osteoarthritis-related information on short video platforms in China: a multi-method cross-sectional study.BMC public health · 2026Article
- Ethical analysis of childhood vaccination information processes among Turkish parents in the United States.Frontiers in public health · 2026Article
- Psychosocial and digital predictors of Hepatitis B vaccination uptake in healthcare workers: insights from a Nigerian tertiary hospital.Tropical medicine and health · 2025Article
- Vaccination Conversations on X in Spanish and Catalan: Qualitative Content Analysis.JMIR infodemiology · 2025Article
- Navigating Vaccine Misinformation: Assessing Newly Licensed Physicians' Ability to Distinguish Facts from Fake News.Epidemiologia (Basel, Switzerland) · 2025Article
- Medical knowledge, political tension, and social relevance: a content and framing analysis of vaccine-related TV broadcasts in the Philippines.BMJ public health · 2025Article
- Development of a User-friendly Health Promotion Website to Spread Evidence-based Information in Italy.Journal of preventive medicine and hygiene · 2024Article
- Determinants of multimodal fake review generation in China's E-commerce platforms.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies on traditional and social media have found that misinformation about vaccines has been widely spread over the last decade, negatively impacting public opinion and people's willingness to get vaccinated. We reviewed the sentiments of Italian users to define the characteristic of anti-vax and pro-vax contents and defined the strategies to deal with the misinformation. Scopus, MEDLINE/PubMed, Google Scholar (up to page 10), and ISI Web of Knowledge databases were systematically searched. Research articles, brief reports, commentaries, and letters published between January 1, 2010 and March 30, 2022 were included in the search. No-vax or ambiguous contents in Italian mass media are not prevalent compared to neutral and pro-vax content; the communication of no-vax groups is significantly simplified, favoring the understanding of the topics by users. Events related to vaccinations are associated with news coverage by media, search engine consultations, and user reactions on social networks. In this context, the activity of no-vax groups is triggered, and misinformation and fake news spread even further. A multifactorial approach is necessary to manage online user sentiment and use mass and social media as health promotion tools.
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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.