On the public citation graph

Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study

0 signed · 82 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/prp2.640openalex-snapshot
Sentiment analysis of social media posts on pharmacotherapy: A scoping review
inferredcites →https://doi.org/10.1016/j.ajic.2018.02.010openalex-snapshot
Social media and outbreaks of emerging infectious diseases: A systematic review of literature
inferredcites →https://doi.org/10.1016/j.artmed.2020.101793openalex-snapshot
Seven pillars of precision digital health and medicine
inferredcites →https://doi.org/10.1016/j.dsx.2021.04.007openalex-snapshot
Long COVID: An overview
inferredcites →https://doi.org/10.1016/j.ipm.2021.102569openalex-snapshot
Combat COVID-19 infodemic using explainable natural language processing models
inferredcites →https://doi.org/10.1016/j.jiph.2021.08.010openalex-snapshot
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence
inferredcites →https://doi.org/10.1017/s0033291721004013openalex-snapshot
Effective incentives for increasing COVID-19 vaccine uptake
inferredcites →https://doi.org/10.1073/pnas.2005335117openalex-snapshot
Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases
inferredcites →https://doi.org/10.1080/21645515.2020.1780846openalex-snapshot
Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases
inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
inferredcites →https://doi.org/10.15585/mmwr.mm7034e1openalex-snapshot
New COVID-19 Cases and Hospitalizations Among Adults, by Vaccination Status — New York, May 3–July 25, 2021
inferredcites →https://doi.org/10.15585/mmwr.mm7037a7openalex-snapshot
New COVID-19 Cases and Hospitalizations Among Adults, by Vaccination Status — New York, May 3–July 25, 2021
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/w19-1909openalex-snapshot
Publicly Available Clinical
inferredcites →https://doi.org/10.2139/ssrn.3839654openalex-snapshot
Increasing Vaccine Acceptance and Uptake: A Review of the Evidence
inferredcites →https://doi.org/10.2196/26618openalex-snapshot
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis
inferredcites →https://doi.org/10.2196/26627openalex-snapshot
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study
inferredcites →https://doi.org/10.2196/27632openalex-snapshot
Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening Study
inferredcites →https://doi.org/10.2196/29584openalex-snapshot
Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse
inferredcites →https://doi.org/10.2196/29667openalex-snapshot
A Word Pair Dataset for Semantic Similarity and Relatedness in Korean Medical Vocabulary: Reference Development and Validation
inferredcites →https://doi.org/10.2196/30424openalex-snapshot
COVID-19 Vaccine–Related Attitudes and Beliefs in Canada: National Cross-sectional Survey and Cluster Analysis
inferredcites →https://doi.org/10.2196/31358openalex-snapshot
Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis
inferredcites →https://doi.org/10.2196/34040openalex-snapshot
Social-Cyber Maneuvers During the COVID-19 Vaccine Initial Rollout: Content Analysis of Tweets
inferredcites →https://doi.org/10.2196/34363openalex-snapshot
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
inferredcites →https://doi.org/10.2196/38756openalex-snapshot
COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic
inferredcites →https://doi.org/10.26483/ijarcs.v9i2.5866openalex-snapshot
ACCURACY IN BINARY, TERNARY AND MULTI-CLASS CLASSIFICATION SENTIMENTAL ANALYSIS-A SURVEY
inferredcites →https://doi.org/10.3389/fdgth.2021.683161openalex-snapshot
A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers
inferredcites →https://doi.org/10.3390/vaccines9060593openalex-snapshot
Lack of Trust, Conspiracy Beliefs, and Social Media Use Predict COVID-19 Vaccine Hesitancy
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/tgdk.3.3.5openalex-snapshot
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4655730openalex-extracted
Analysis of Twitter Data on Covid-19 and School Transportation: A Topic Modeling Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-36402-0_13openalex-snapshot
We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing
inferred← citeshttps://doi.org/10.1007/978-3-031-36938-4_1openalex-snapshot
Artificial Intelligence for Personalized Care, Wellness, and Longevity Research
inferred← citeshttps://doi.org/10.1007/978-981-96-5597-7_29openalex-snapshot
Impact of Social Media on Heart Health-Related Behaviors in Health Promotion Interventions: Sentiment Analysis of Tweets Linked to the American Heart Month Campaigns
inferred← citeshttps://doi.org/10.1007/s11096-024-01803-0openalex-snapshot
Sentiment analysis in medication adherence: using ruled-based and artificial intelligence-driven algorithms to understand patient medication experiences
inferred← citeshttps://doi.org/10.1007/s42001-026-00482-3openalex-snapshot
Sentiment and stance detection in COVID-19 vaccine discourse: a systematic review
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106876openalex-snapshot
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100725openalex-snapshot
Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions
inferred← citeshttps://doi.org/10.1016/j.csbr.2024.100003openalex-snapshot
Hugging Face's impact on medical applications of artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102010openalex-snapshot
Punctuation and lexicon aid representation: A hybrid model for short text sentiment analysis on social media platform
inferred← citeshttps://doi.org/10.1016/j.procs.2024.11.133openalex-snapshot
Harnessing the Implementation Potential of Digital Vaccination Certificates (DVCs) on Global Scale
inferred← citeshttps://doi.org/10.1016/j.pubrev.2025.102539openalex-snapshot
Public information officers’ use of social media monitoring: An updated analysis of current practice
inferred← citeshttps://doi.org/10.1017/9781108939010.035openalex-snapshot
Applications
inferred← citeshttps://doi.org/10.1017/9781108939010.038openalex-snapshot
Social Media Analytics
inferred← citeshttps://doi.org/10.1038/s41598-025-98700-xopenalex-snapshot
A bimodal longitudinal investigation on changes in sentiments over social media interactions owing to COVID-19 pandemic
inferred← citeshttps://doi.org/10.1075/term.00068.samopenalex-snapshot
The terminological impact of pandemics
inferred← citeshttps://doi.org/10.1080/10810730.2026.2699886openalex-snapshot
Popular Attitudes Toward Vaccination During the Initial COVID-19 Vaccination Rollout (December 2020–May 2021): A Social Media Analysis
inferred← citeshttps://doi.org/10.1093/ntr/ntag048openalex-snapshot
Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021–2023) in the United States
inferred← citeshttps://doi.org/10.1101/2024.10.07.24315018openalex-snapshot
Understanding Public Attitudes Towards Human Papillomavirus Vaccination in Japan: Insights from Social Media Stance Analysis Using Large Language Models
inferred← citeshttps://doi.org/10.1109/icimtech67074.2025.11265255openalex-snapshot
Performance Analysis of Various Large Language Models in Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/icitri67507.2025.11232692openalex-snapshot
Temporal Sentiment Analysis and Strategic Visualization of Sustainable Business Feedback From Online Forums Using NLP
inferred← citeshttps://doi.org/10.1136/bmjhci-2022-100665openalex-snapshot
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
inferred← citeshttps://doi.org/10.1136/bmjhci-2022-100728openalex-snapshot
Mapping loneliness through social intelligence analysis: a step towards creating global loneliness map
inferred← citeshttps://doi.org/10.1145/3789982.3789999openalex-snapshot
A Comparative Study of NLP-Based Models: Popularity Trends in Pop Mart Comments
inferred← citeshttps://doi.org/10.1145/3795766.3799768openalex-snapshot
Who Shapes Brazil’s Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube’s Media Ecosystem
inferred← citeshttps://doi.org/10.1371/journal.pone.0277748openalex-snapshot
Healthcare professionals’ perceptions and recommendations regarding adolescent vaccinations in Georgia and Tennessee during the COVID-19 pandemic: A qualitative research
inferred← citeshttps://doi.org/10.1371/journal.pone.0291993openalex-snapshot
Modeling opinion polarization on social media: Application to Covid-19 vaccination hesitancy in Italy
inferred← citeshttps://doi.org/10.1371/journal.pone.0303183openalex-snapshot
Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society
inferred← citeshttps://doi.org/10.1371/journal.pone.0318464openalex-snapshot
Public perception and changing attitudes toward antidepressants over a decade in social media: Lessons learned from online discussion using artificial intelligence
inferred← citeshttps://doi.org/10.18653/v1/2023.bionlp-1.20openalex-snapshot
Multiple Evidence Combination for Fact-Checking of Health-Related Information
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2473438/v1openalex-snapshot
We chased COVID-19; Did we forget Measles? - A machine learning approach to public discourse and sentiment analysis on spiking Measles cases
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6246638/v1openalex-snapshot
Clarifying Misunderstandings in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy: A Systematic Review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6431026/v1openalex-snapshot
Popular attitudes toward vaccination in the post-COVID-19 period: a social media analysis
inferred← citeshttps://doi.org/10.2139/ssrn.6862788openalex-snapshot
A Study on Food Safety Risk Perception: Introducing Large Language Models to Online Public Opinion Analysis
inferred← citeshttps://doi.org/10.2196/49464openalex-snapshot
Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study
inferred← citeshttps://doi.org/10.2196/59687openalex-snapshot
COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source
inferred← citeshttps://doi.org/10.2196/63824openalex-snapshot
Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI
inferred← citeshttps://doi.org/10.2196/68881openalex-snapshot
Understanding Human Papillomavirus Vaccination Hesitancy in Japan Using Social Media: Content Analysis
inferred← citeshttps://doi.org/10.2196/68955openalex-snapshot
Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study
inferred← citeshttps://doi.org/10.2196/70322openalex-snapshot
Digital Media Coverage of Respiratory Syncytial Virus-Related News in India: Mixed Methods Content Analysis of Disease Burden and Intervention
inferred← citeshttps://doi.org/10.2196/92821openalex-snapshot
Benchmarking Large Language Models for Sentiment Analysis in Pregnancy-Related Weight Discussions on Reddit: A Human Performance-Aligned Evaluation (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.59687openalex-snapshot
Optimising public health communication: an analysis of type, sentiment and source of COVID-19 tweets (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.63824openalex-snapshot
Restoring Sentiments: Understanding Citizens’ Response to Social Activities on Twitter in U.S. Metropolises During the COVID-19 Pandemic Using Fine-tuned Large Language Model (Preprint)
inferred← citeshttps://doi.org/10.3233/shti230526openalex-snapshot
Comparing Emotional Valence Scores of Twitter Messages from Human Coding and Machine Learning Algorithms Among Hispanic and African American Family Caregivers of Persons with Dementia
inferred← citeshttps://doi.org/10.3233/shti230805openalex-snapshot
Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics
inferred← citeshttps://doi.org/10.3389/fpubh.2024.1105383openalex-snapshot
Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model
inferred← citeshttps://doi.org/10.3389/frai.2025.1623090openalex-snapshot
CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis
inferred← citeshttps://doi.org/10.3389/fsurg.2026.1927511openalex-snapshot
Evaluating Turkish society's approaches to hemorrhoid treatment using text mining and sentiment analysis methods
inferred← citeshttps://doi.org/10.3390/app13116713openalex-snapshot
Know an Emotion by the Company It Keeps: Word Embeddings from Reddit/Coronavirus
inferred← citeshttps://doi.org/10.3390/bdcc7020072openalex-snapshot
A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception
inferred← citeshttps://doi.org/10.3390/electronics15020409openalex-snapshot
Hallucination-Aware Interpretable Sentiment Analysis Model: A Grounded Approach to Reliable Social Media Content Classification
inferred← citeshttps://doi.org/10.7759/cureus.106737openalex-snapshot
Artificial Intelligence-Driven Social Media Analysis of Vaccine Hesitancy, Confidence, and Trust in Africa: A Scoping Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.