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Sentiment, Contents, and Retweets: A Study of Two Vaccine-Related Twitter Datasets
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Understanding Vaccine Refusal
inferredcites →https://doi.org/10.1016/j.idh.2017.08.005openalex-snapshot
Twitter and Middle East respiratory syndrome, South Korea, 2015: A multi-lingual study
inferredcites →https://doi.org/10.1016/j.vaccine.2011.11.112openalex-snapshot
Anti-vaccine activists, Web 2.0, and the postmodern paradigm – An overview of tactics and tropes used online by the anti-vaccination movement
inferredcites →https://doi.org/10.1016/j.vaccine.2015.08.064openalex-snapshot
On pins and needles: How vaccines are portrayed on Pinterest
inferredcites →https://doi.org/10.1016/j.vaccine.2016.09.029openalex-snapshot
A comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook post,
inferredcites →https://doi.org/10.1016/j.vaccine.2017.05.052openalex-snapshot
Semantic network analysis of vaccine sentiment in online social media
inferredcites →https://doi.org/10.1056/nejmoa1602295openalex-snapshot
A Measles Outbreak in an Underimmunized Amish Community in Ohio
inferredcites →https://doi.org/10.1073/pnas.1517441113openalex-snapshot
The spreading of misinformation online
inferredcites →https://doi.org/10.1177/1059840511426578openalex-snapshot
Reasons Parents Exempt Children From Receiving Immunizations
inferredcites →https://doi.org/10.1371/journal.pone.0126092openalex-snapshot
Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases
inferredcites →https://doi.org/10.1371/journal.pone.0134641openalex-snapshot
Trend of Narratives in the Age of Misinformation
inferredcites →https://doi.org/10.1377/hlthaff.2015.1092openalex-snapshot
Publicly Available Online Tool Facilitates Real-Time Monitoring Of Vaccine Conversations And Sentiments
inferredcites →https://doi.org/10.2196/jmir.6670openalex-snapshot
Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter
inferredcites →https://doi.org/10.3233/978-1-61499-564-7-761openalex-snapshot
Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter
inferredcites →https://doi.org/10.4161/21645515.2014.969618openalex-snapshot
Tracking the global spread of vaccine sentiments: The global response to Japan's suspension of its HPV vaccine recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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How Was the Coronavirus Vaccine Accepted on Twitter?: An Analysis Using Big Data in Japan
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Does Social Bot's Dominant Emotion Differ from Human During Human-Bot Interaction in the Context of Covid-19?
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Social Media, Vaccines, and Partisan Division of Health Information
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Vaccine Support and Hesitancy on Twitter: Opposing Views, Similar Strategies, and the Mixed Impact of Conspiracy Theories
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When in Memeland, Speak in Memes: Contributions of Design Towards the Betterment of Online Behavior Regarding Public Health
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Vaccines and Publics: A Variety of Engaging Experiences
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The Dynamics of Online Opinion Formation: Polarization Around the Vaccine Development for COVID-19
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Sentiment Analysis Using Web-Based Platforms on Virtual Education During the 2020 Lockdown
inferred← citeshttps://doi.org/10.1007/s10147-022-02240-7openalex-snapshot
The ‘best friend effect’: a promising tool to encourage HPV vaccination in Japan
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Associations Between Social Media Engagement and Vaccine Hesitancy
inferred← citeshttps://doi.org/10.1007/s12144-020-01211-3openalex-snapshot
Behavioral and psychosocial factors associated with COVID-19 skepticism in the United States
inferred← citeshttps://doi.org/10.1007/s13278-023-01155-zopenalex-snapshot
Tracking the structure and sentiment of vaccination discussions on Mumsnet
inferred← citeshttps://doi.org/10.1016/j.chb.2022.107218openalex-snapshot
Preliminary evidence that brief exposure to vaccination-related internet memes may influence intentions to vaccinate against COVID-19
inferred← citeshttps://doi.org/10.1016/j.eclinm.2022.101454openalex-snapshot
Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature
inferred← citeshttps://doi.org/10.1016/j.ejpn.2021.12.009openalex-snapshot
Crisis of confidence in vaccination and the role of social media
inferred← citeshttps://doi.org/10.1016/j.jaip.2023.07.033openalex-snapshot
How Likes and Retweets Impacted Our Patients During the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100085openalex-snapshot
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
inferred← citeshttps://doi.org/10.1016/j.ogc.2023.02.013openalex-snapshot
Vaccine Hesitancy in Women’s Health
inferred← citeshttps://doi.org/10.1016/j.tele.2020.101474openalex-snapshot
Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis
inferred← citeshttps://doi.org/10.1016/j.teler.2024.100162openalex-snapshot
COVID-19 anti-vaccine misinformation discourse on Twitter: Influential roles of polarization and the 2020 US presidential election
inferred← citeshttps://doi.org/10.1016/j.vaccine.2020.11.058openalex-snapshot
Understanding the messages and motivation of vaccine hesitant or refusing social media influencers
inferred← citeshttps://doi.org/10.1016/j.vaccine.2024.126247openalex-snapshot
COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages
inferred← citeshttps://doi.org/10.1017/9781108878296.002openalex-snapshot
From Georg Simmel, “On the Significance of Numbers for Social Life: Introduction,” “The Isolated Individual and the Dyad,” “The Triad,” and “The Web of Group Affiliations”
inferred← citeshttps://doi.org/10.1017/9781108878296.003openalex-snapshot
Georg Simmel’s Contribution to Social Network Research
inferred← citeshttps://doi.org/10.1017/9781108878296.004openalex-snapshot
From Elihu Katz and Paul F. Lazarsfeld,Personal Influence
inferred← citeshttps://doi.org/10.1017/9781108878296.005openalex-snapshot
Influencers, Backfire Effects, and the Power of the Periphery
inferred← citeshttps://doi.org/10.1017/9781108878296.006openalex-snapshot
From J. Clyde Mitchell, “The Concept and Use of Social Networks”
inferred← citeshttps://doi.org/10.1017/9781108878296.007openalex-snapshot
On J. Clyde Mitchell’s “The Concept and Use of Social Networks”
inferred← citeshttps://doi.org/10.1017/9781108878296.008openalex-snapshot
From Elizabeth Bott, “Urban Families: Conjugal Roles and Social Networks”
inferred← citeshttps://doi.org/10.1017/9781108878296.009openalex-snapshot
Commentary on Bott’s “Family and Social Network”
inferred← citeshttps://doi.org/10.1017/9781108878296.010openalex-snapshot
From Leon Festinger, Stanley Schachter, and Kurt Back, Social Pressures in Informal Groups
inferred← citeshttps://doi.org/10.1017/9781108878296.011openalex-snapshot
Festinger, Schachter, and Back’sSocial Pressures in Informal Groups
inferred← citeshttps://doi.org/10.1017/9781108878296.012openalex-snapshot
From H. Russell Bernard, Peter Killworth, David Kronenfeld, and Lee Sailer, “The Problem of Informant Accuracy”
inferred← citeshttps://doi.org/10.1017/9781108878296.013openalex-snapshot
Implications of Informant Accuracy Research for Ego Networks
inferred← citeshttps://doi.org/10.1017/9781108878296.014openalex-snapshot
From Harrison C. White,Identity and Control
inferred← citeshttps://doi.org/10.1017/9781108878296.015openalex-snapshot
On Parachutes and Lion-Taming
inferred← citeshttps://doi.org/10.1017/9781108878296.016openalex-snapshot
From Claude S. Fischer,To Dwell among Friends
inferred← citeshttps://doi.org/10.1017/9781108878296.017openalex-snapshot
From the Northern California Community Study, 1977–1978, to the University of California, Berkeley, Social Networks Project, 2015–2020
inferred← citeshttps://doi.org/10.1017/9781108878296.018openalex-snapshot
From Mark S. Granovetter, “The Strength of Weak Ties”
inferred← citeshttps://doi.org/10.1017/9781108878296.019openalex-snapshot
Strength of Weak Ties in the Labor Market: An Assessment of the State of Research
inferred← citeshttps://doi.org/10.1017/9781108878296.020openalex-snapshot
From Barry Wellman and Scot Wortley, “Different Strokes from Different Folks”
inferred← citeshttps://doi.org/10.1017/9781108878296.021openalex-snapshot
A Network Pilgrim’s Progress: Twenty-Six Realizations in Fifty-Five Years
inferred← citeshttps://doi.org/10.1017/9781108878296.022openalex-snapshot
From James S. Coleman, “Social Capital in the Creation of Human Capital”
inferred← citeshttps://doi.org/10.1017/9781108878296.023openalex-snapshot
Three Decades of Research into Social Capital: Achievements, Blind Spots, and Future Directions
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From Bernice A. Pescosolido, “Beyond Rational Choice”
inferred← citeshttps://doi.org/10.1017/9781108878296.025openalex-snapshot
Confronting How People Cope with Crisis: From the Social Organization Strategy Framework to the Network Episode Model to the Network Embedded Symbiome
inferred← citeshttps://doi.org/10.1017/9781108878296.026openalex-snapshot
From Scott L. Feld, “The Focused Organization of Social Ties”
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Reflections on “The Focused Organization of Social Ties” and its Implications for Bonding and Bridging
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From Ronald S. Burt,Structural Holes
inferred← citeshttps://doi.org/10.1017/9781108878296.029openalex-snapshot
Structural HolesCapstone, Cautions, and Enthusiasms
inferred← citeshttps://doi.org/10.1017/9781108878296.030openalex-snapshot
From Edward O. Laumann, Peter V. Marsden, and David Prensky, “The Boundary Specification Problem in Network Analysis”
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On the Boundary Specification Problem in Network Analysis: An Update and Extension to Personal Social Networks
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From Miller McPherson, Lynn Smith-Lovin, and James M. Cook, “Birds of a Feather”
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The Enormous Flock of Homophily Researchers: Assessing and Promoting a Research Agenda
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From Robert Huckfeldt and John Sprague, “Networks in Context”
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Individuals, Groups, and Networks: Implications for the Study and Practice of Democratic Politics
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From Nan Lin, “Building a Network Theory of Social Capital”
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On the General Social Survey
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Public Interest in Myocarditis during the SARS-CoV-2 Pandemic
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Harnessing Twitter data to survey public attention and attitudes towards COVID-19 vaccines in the UK
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Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences
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Those ‘funny’ internet memes: a study of misinformation retransmission and vaccine hesitancy
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Beyond Scanning and Seeking: The Role of Information Consumption Typologies in Shaping COVID-19 Knowledge, Misinformation, Trust, and Vaccination Intentions
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Episodes of sustained protest: temporal patterns of online mobilization on X
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Tweeting about the COVID-19 vaccine: A content analysis
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Quantifying the rise of vaccine opposition on Twitter during the COVID-19 pandemic
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Exploring the relationship between newspaper coverage of vaccines and childhood vaccination rates in Spain
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Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases
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Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations
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Analysis of vaccine messages on social media (Twitter) in Scandinavia
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An analysis of COVID-19 vaccine hesitancy in the U.S.
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Predict Individual Retweet Behavior Based on Multi-feature
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Social media as a means of sharing information on antimicrobial resistance and appropriate antibiotic use: a systematic review
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How was the coronavirus vaccine accepted on Twitter? A computational analysis using big data in Japan
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Exploring COVID-19 vaccine hesitancy and behavioral themes using social media big-data: a text mining approach
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Predictors of third-person perceptions about media's influence on vaccination against COVID-19
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Collecting Domain-Relevant Tweets: Creation and Application of a New Framework
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COVID-19 Vaccine Brand Sentiment on Twitter
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A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset
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Health-related fake news on social media platforms: A systematic literature review
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The case for tracking misinformation the way we track disease
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Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season
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Barriers to equitable COVID-19 booster uptake among adults aged 50 and older in the UK: psychological factors and misinformation influencing vaccine hesitancy
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The fight against disinformation and its consequences: measuring the impact of “Russia state-affiliated media” on Twitter
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Health information and COVID-19 vaccination: Beliefs and attitudes among Japanese university students
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Findings from a qualitative analysis: Social media influencers of color as trusted messengers of HPV vaccination messages
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Auditing the impact of social media’s policy shift on anti-vaccine discourse: A large language model-driven empirical study
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Examining users’ emotional responses to YouTube content during the Covid-19 crisis: A cross-country experiment
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Investigation of vaccine hesitancy in pandemics and related factors in students at the Göztepe campus of Marmara University
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Çiçek Hastalığı Epidemisinden Covid-19 Pandemisine; Aşı Kararsızlığı ve Aşı Reddi
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Combatting Mis/Disinformation: Combining Predictive Modeling and Machine Learning with Persuasion Science to Understand COVID-19 Vaccine Online Discourse
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Content Themes and Influential Voices Within Vaccine Opposition on Twitter, 2019
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Get the Jab: Government Multisemiotic Legitimation of COVID-19 Vaccines in Malaysia
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Sosyokültürel Faktörler Gebelerin COVID–19 Aşısına Karşı Tereddüdü Etkiliyor mu? Türkiye’de Hastane Odaklı Kesitsel bir Araştırma
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Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review
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Prevalence of Health Misinformation on Social Media: Systematic Review
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Characteristics of Antivaccine Messages on Social Media: Systematic Review
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User- and Message-Level Correlates of Endorsement and Engagement for HIV-Related Messages on Twitter: Cross-sectional Study
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Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study
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The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding
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Media Data and Vaccine Hesitancy: Scoping Review
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Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study
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A Snapshot of COVID-19 Vaccine Discourse Related to Ethnic Minority Communities in the United Kingdom Between January and April 2022: Mixed Methods Analysis
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Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis
inferred← citeshttps://doi.org/10.2196/70576openalex-snapshot
Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis
inferred← citeshttps://doi.org/10.2196/80783openalex-snapshot
Human Papillomavirus Vaccine Perceptions Among Noncollege Young Adults and TikTok Influencers: Qualitative Study
inferred← citeshttps://doi.org/10.2196/preprints.37300openalex-snapshot
Media data and vaccine hesitancy: a scoping review (Preprint)
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The spread of fact-checks and the myths they debunk on Twitter: A case study of the graphene oxide myth during the COVID-19 pandemic (Preprint)
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Análisis del movimiento antivacunas en Twitter: una perspectiva latinoamericana
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Mis-tweeting communication: a Vaccine Hesitancy analysis among twitter users in Italy.
inferred← citeshttps://doi.org/10.26633/rpsp.2021.54openalex-snapshot
Temas de contenido y voces influyentes dentro de la oposición a las vacunas en Twitter, 2019
inferred← citeshttps://doi.org/10.30589/pgr.v7i3.781openalex-snapshot
What Indonesian Netizen Says about Covid-19 Vaccination? A Corpus Assisted Discourse Studies of YouTube’s Comment
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Health Politicization and Misinformation on Twitter. A Study of the Italian Twittersphere from Before, During and After the Law on Mandatory Vaccinations
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Health Politicization and Misinformation on Twitter. A Study of the Italian Twittersphere from Before, During and After the Law on Mandatory Vaccinations
inferred← citeshttps://doi.org/10.32473/jpic.v5.i2.p27openalex-snapshot
Conversing or Diffusing Information?
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The era of “Infectious Diseases+” has arrived: multi-disciplinary integration in pediatric infectious disease prevention and control
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Pedagogical Demonstration of Twitter Data Analysis: A Case Study of World AIDS Day, 2014
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Vaccine Hesitancy towards COVID-19 Vaccination: Investigating the Role of Information Sources through a Mediation Analysis
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Analysis of the Anti-Vaccine Movement in Social Networks: A Systematic Review
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Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter
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Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review
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Could Social Bots’ Sentiment Engagement Shape Humans’ Sentiment on COVID-19 Vaccine Discussion on Twitter?
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Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect
inferred← citeshttps://doi.org/10.3390/vaccines10081190openalex-snapshot
Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis
inferred← citeshttps://doi.org/10.3390/vaccines10081240openalex-snapshot
Bots’ Activity on COVID-19 Pro and Anti-Vaccination Networks: Analysis of Spanish-Written Messages on Twitter
inferred← citeshttps://doi.org/10.3390/vaccines10122067openalex-snapshot
Anti-Vaccine Discourse on Social Media: An Exploratory Audit of Negative Tweets about Vaccines and Their Posters
inferred← citeshttps://doi.org/10.3390/vaccines10122085openalex-snapshot
Balanced Reporting and Boomerang Effect: An Analysis of Croatian Online News Sites Vaccination Coverage and User Comments during the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.3390/vaccines9010028openalex-snapshot
Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
inferred← citeshttps://doi.org/10.3390/vaccines9050481openalex-snapshot
What Arguments against COVID-19 Vaccines Run on Facebook in Poland: Content Analysis of Comments
inferred← citeshttps://doi.org/10.3390/vaccines9070757openalex-snapshot
Can Communication Strategies Combat COVID-19 Vaccine Hesitancy with Trade-Off between Public Service Messages and Public Skepticism? Experimental Evidence from Pakistan
inferred← citeshttps://doi.org/10.3390/vaccines9091049openalex-snapshot
Intent to Vaccinate SARS-CoV-2 Infected Children in US Households: A Survey
inferred← citeshttps://doi.org/10.3390/vaccines9101200openalex-snapshot
Attitudes toward the SARS-CoV-2 and Influenza Vaccination in the Metropolitan Cities of Bologna and Palermo, Italy
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Estimating Vaccine Confidence Levels among Healthcare Staff and Students of a Tertiary Institution in South Africa
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PROS AND CONS OF TECHNOLOGY FOR PATIENTS
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Studying Public Perception about Covaxin Vaccination
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Desinformación y vacunas en redes
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Desinformación y vacunas en redes
inferred← citeshttps://doi.org/10.48550/arxiv.2003.12093openalex-snapshot
To Tweet or Not to Tweet: Covertly Manipulating a Twitter Debate on Vaccines Using Malware-Induced Misperceptions
inferred← citeshttps://doi.org/10.5281/zenodo.6842883openalex-snapshot
Labeled data and models for COVID-19 vaccine related tweets with stance, location, and topics
inferred← citeshttps://doi.org/10.5296/ijssr.v11i1.20259openalex-snapshot
Do Greek University Students Trust Social Media Regarding Science Related Issues? The Covid-19 Case
inferred← citeshttps://doi.org/10.56296/aip00027openalex-snapshot
Lazy or different? A quantitative content analysis of how believers and nonbelievers of misinformation reason
inferred← citeshttps://doi.org/10.59014/ppuy2944openalex-snapshot
MOĆ MEDIJA KAO IZVORA INFORMACIJA I UTJECAJA NA DONOŠENJE ODLUKE O CIJEPLJENJU PROTIV COVID-19
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.