ArticleHealth informatics journal2019
Facebook and Twitter vaccine sentiment in response to measles outbreaks.
Article in Health informatics journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.
- Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy.Computers in biology and medicine · 2021Pooled it
- Interplay between vaccine-related informational milestones, social media discourse, and vaccine administration rates for human papillomavirus and measles/mumps/rubella vaccines in the United States.Human vaccines & immunotherapeutics · 2026Article
- The Role of Influencers and Echo Chambers in the Diffusion of Vaccine Misinformation: Opinion Mining in a Taiwanese Online Community.JMIR infodemiology · 2025Article
- Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study.Journal of medical Internet research · 2025Article
- Mapping the Mpox discourse: A network and sentiment analysis.Exploratory research in clinical and social pharmacy · 2024Article
- Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study.JMIR infodemiology · 2024Article
- Dynamics of communication on measles vaccination on digital platforms in the Brazilian context: challenges and perspectives.Revista do Instituto de Medicina Tropical de Sao Paulo · 2024Article
- Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study.JMIR infodemiology · 2023Article
- 12-year observation of tweets about rubella in Japan: A retrospective infodemiology study.PloS one · 2023Article
- Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Public attitudes on social media toward vaccination before and during the COVID-19 pandemic.Human vaccines & immunotherapeutics · 2022Article
- A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study.Journal of medical Internet research · 2022Observational
- An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach.JMIR medical informatics · 2022Article
- Analyses of Public Attention and Sentiments towards Different COVID-19 Vaccines Using Data Mining Techniques.Vaccines · 2022Article
- Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination.Intelligent medicine · 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
- 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
- Attitudes toward the SARS-CoV-2 and Influenza Vaccination in the Metropolitan Cities of Bologna and Palermo, Italy.Vaccines · 2021Article
- Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis.Vaccine · 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
9 authors at 3 institutions in 1 country.
Funding
Abstract
Social media posts regarding measles vaccination were classified as pro-vaccination, expressing vaccine hesitancy, uncertain, or irrelevant. Spearman correlations with Centers for Disease Control and Prevention-reported measles cases and differenced smoothed cumulative case counts over this period were reported (using time series bootstrap confidence intervals). A total of 58,078 Facebook posts and 82,993 tweets were identified from 4 January 2009 to 27 August 2016. Pro-vaccination posts were correlated with the US weekly reported cases (Facebook: Spearman correlation 0.22 (95% confidence interval: 0.09 to 0.34), Twitter: 0.21 (95% confidence interval: 0.06 to 0.34)). Vaccine-hesitant posts, however, were uncorrelated with measles cases in the United States (Facebook: 0.01 (95% confidence interval: -0.13 to 0.14), Twitter: 0.0011 (95% confidence interval: -0.12 to 0.12)). These findings may result from more consistent social media engagement by individuals expressing vaccine hesitancy, contrasted with media- or event-driven episodic interest on the part of individuals favoring current policy.
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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.