ArticleJMIR public health and surveillance
The Measles Vaccination Narrative in Twitter: A Quantitative Analysis.
Article in JMIR public health and surveillance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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
50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 161 citations in OpenAlex.
- Prevalence of Health Misinformation on Social Media: Systematic Review.Journal of medical Internet research · 2021Pooled it
- The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review.Journal of medical Internet research · 2020Pooled it
- Systematic Literature Review on the Spread of Health-related Misinformation on Social Media.Social science & medicine (1982) · 2019Pooled it
- Anti-masking Posts on Instagram: Content Analysis During the COVID-19 Pandemic.Safety and health at work · 2025Article
- Natural Language Processing-Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation.JMIR medical informatics · 2024Article
- Mapping Knowledge Landscapes and Emerging Trends for the Spread of Health-Related Misinformation During the COVID-19 on Chinese and English Social Media: A Comparative Bibliometric and Visualization Analysis.Journal of multidisciplinary healthcare · 2024Article
- Understanding the determinants of vaccine hesitancy in the United States: A comparison of social surveys and social media.PloS one · 2024Article
- The role of social media in public health crises caused by infectious disease: a scoping review.BMJ global health · 2023Article
- 12-year observation of tweets about rubella in Japan: A retrospective infodemiology study.PloS one · 2023Article
- Tracking the structure and sentiment of vaccination discussions on Mumsnet.Social network analysis and mining · 2023Article
- Article
- Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study.JMIR medical informatics · 2022Article
- Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic.International journal of applied earth observation and geoinformation : ITC journal · 2022Article
- Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018.Human vaccines & immunotherapeutics · 2022Article
- Public reactions towards Covid-19 vaccination through twitter before and after second wave in India.Social network analysis and mining · 2022Article
- Motivation to participate in secondary science communication.Frontiers in psychology · 2022Article
- Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China.Telematics and informatics · 2021Article
- Revisiting the 2014-15 Disneyland measles outbreak and its influence on pediatric vaccinations.Human vaccines & immunotherapeutics · 2021Review
- Changes in legislator vaccine-engagement on Twitter before and after the arrival of the COVID-19 pandemic.Human vaccines & immunotherapeutics · 2021Article
- Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review.JMIR public health and surveillance · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe emergence of social media is providing an alternative avenue for information exchange and opinion formation on health-related issues. Collective discourse in such media leads to the formation of a complex narrative, conveying public views and perceptions.
objectiveThis paper presents a study of Twitter narrative regarding vaccination in the aftermath of the 2015 measles outbreak, both in terms of its cyber and physical characteristics. We aimed to contribute to the analysis of the data, as well as presenting a quantitative interdisciplinary approach to analyze such open-source data in the context of health narratives.
methodsWe collected 669,136 tweets referring to vaccination from February 1 to March 9, 2015. These tweets were analyzed to identify key terms, connections among such terms, retweet patterns, the structure of the narrative, and connections to the geographical space.
resultsThe data analysis captures the anatomy of the themes and relations that make up the discussion about vaccination in Twitter. The results highlight the higher impact of stories contributed by news organizations compared to direct tweets by health organizations in communicating health-related information. They also capture the structure of the antivaccination narrative and its terms of reference. Analysis also revealed the relationship between community engagement in Twitter and state policies regarding child vaccination. Residents of Vermont and Oregon, the two states with the highest rates of non-medical exemption from school-entry vaccines nationwide, are leading the social media discussion in terms of participation.
conclusionsThe interdisciplinary study of health-related debates in social media across the cyber-physical debate nexus leads to a greater understanding of public concerns, views, and responses to health-related issues. Further coalescing such capabilities shows promise towards advancing health communication, thus supporting the design of more effective strategies that take into account the complex and evolving public views of health issues.
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What OpenQuestion holds
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.