ArticleJournal of the American Medical Informatics Association : JAMIA2020
Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Study of Human Papillomavirus Vaccine-Related Social Media Content Across Eight Social Media Platforms: Scoping Review of Communication Content, Information Sources, and Analytical Approaches.Journal of medical Internet research · 2026Article
- Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records.Journal of healthcare informatics research · 2026Article
- Human Papillomavirus Vaccination Policies and Discourse on Social Media.JAMA health forum · 2026Article
- From cognitive gap to innovation synergy: public cognitive evolution law and implications in the new unmanned-driven business model.Scientific reports · 2025Article
- Characterize Disease Progression Subphenotypes in Real World Populations with Overweight and Obesity using a Graph-based Neural Network Framework.medRxiv : the preprint server for health sciences · 2025Article
- Perspectives of Chinese Adult Patients with Alopecia Areata on Janus Kinase Inhibitors Therapy: A Qualitative Analysis Based on Social Media Platforms.Patient preference and adherence · 2025Article
- Wellness Influencer Responses to COVID-19 Vaccines on Social Media: A Longitudinal Observational Study.Journal of medical Internet research · 2024Observational
- Natural Language Processing for Digital Health in the Era of Large Language Models.Yearbook of medical informatics · 2024Review
- The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis.JMIR infodemiology · 2024Article
- Clearing the air: evaluating institutions' social media health messaging on wildfire and smoke risks in the US Pacific Northwest.BMC public health · 2024Article
- Public perception of the resumption of HPV vaccine recommendation in Japan: Twitter content analysis.Health promotion international · 2023Article
- Examination of the Public's Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans.Healthcare (Basel, Switzerland) · 2022Article
- Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis.JAMIA open · 2022Article
- Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set.JMIR medical informatics · 2022Article
- Facilitators and Barriers of COVID-19 Vaccine Promotion on Social Media in the United States: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
- Investigating Individuals' Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data.Journal of medical Internet research · 2021Article
- TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.Knowledge-based systems · 2021Article
- Evaluation of clustering and topic modeling methods over health-related tweets and emails.Artificial intelligence in medicine · 2021Article
- Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectivesThe study sought to test the feasibility of using Twitter data to assess determinants of consumers' health behavior toward human papillomavirus (HPV) vaccination informed by the Integrated Behavior Model (IBM). MATERIALS AND
methodsWe used 3 Twitter datasets spanning from 2014 to 2018. We preprocessed and geocoded the tweets, and then built a rule-based model that classified each tweet into either promotional information or consumers' discussions. We applied topic modeling to discover major themes and subsequently explored the associations between the topics learned from consumers' discussions and the responses of HPV-related questions in the Health Information National Trends Survey (HINTS).
resultsWe collected 2 846 495 tweets and analyzed 335 681 geocoded tweets. Through topic modeling, we identified 122 high-quality topics. The most discussed consumer topic is "cervical cancer screening"; while in promotional tweets, the most popular topic is to increase awareness of "HPV causes cancer." A total of 87 of the 122 topics are correlated between promotional information and consumers' discussions. Guided by IBM, we examined the alignment between our Twitter findings and the results obtained from HINTS. Thirty-five topics can be mapped to HINTS questions by keywords, 112 topics can be mapped to IBM constructs, and 45 topics have statistically significant correlations with HINTS responses in terms of geographic distributions.
conclusionsMining Twitter to assess consumers' health behaviors can not only obtain results comparable to surveys, but also yield additional insights via a theory-driven approach. Limitations exist; nevertheless, these encouraging results impel us to develop innovative ways of leveraging social media in the changing health communication landscape.
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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.