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“Thought I’d Share First” and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study
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1 of the 37 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1101/2020.01.30.927871 (notice 2020-02-02).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0736-5853(85)90095-4openalex-snapshot
Dezinformatsia: Active measures in Soviet strategy
inferredcites →https://doi.org/10.1016/j.cognition.2014.08.006openalex-snapshot
Analytic thinking reduces belief in conspiracy theories
inferredcites →https://doi.org/10.1016/j.socscimed.2019.112552openalex-snapshot
Systematic Literature Review on the Spread of Health-related Misinformation on Social Media
inferredcites →https://doi.org/10.1038/35074171openalex-snapshot
Polio vaccine samples not linked to AIDS
inferredcites →https://doi.org/10.1038/d41586-018-07034-4openalex-snapshot
The biggest pandemic risk? Viral misinformation
inferredcites →https://doi.org/10.1038/scientificamerican042020-799tmljwvu7tabi9xrntvwopenalex-snapshot
Invisible Ink Could Reveal whether Kids Have Been Vaccinated
inferredcites →https://doi.org/10.1057/s41599-019-0243-8openalex-snapshot
What drives people to believe in Zika conspiracy theories?
inferredcites →https://doi.org/10.1093/oso/9780199396603.001.0001openalex-snapshot
Denying to the Grave
inferredcites →https://doi.org/10.1098/rsos.201199openalex-snapshot
Susceptibility to misinformation about COVID-19 around the world
inferredcites →https://doi.org/10.1101/2020.01.30.927871openalex-snapshot
Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag
inferredcites →https://doi.org/10.1111/anae.15057openalex-snapshot
Social media for rapid knowledge dissemination: early experience from the COVID ‐19 pandemic
inferredcites →https://doi.org/10.1145/2998181.2998294openalex-snapshot
A Closer Look at the Self-Correcting Crowd
inferredcites →https://doi.org/10.1177/0268580920914755openalex-snapshot
COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information
inferredcites →https://doi.org/10.13140/2.1.2393.1847openalex-snapshot
Software Framework for Topic Modelling with Large Corpora
inferredcites →https://doi.org/10.1371/journal.pone.0216922openalex-snapshot
Zika discourse in the Americas: A multilingual topic analysis of Twitter
inferredcites →https://doi.org/10.1609/icwsm.v12i1.15007openalex-snapshot
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation
inferredcites →https://doi.org/10.1609/icwsm.v12i1.15016openalex-snapshot
A Social Media Based Examination of the Effects of Counseling Recommendations after Student Deaths on College Campuses
inferredcites →https://doi.org/10.1609/icwsm.v12i1.15029openalex-snapshot
#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate
inferredcites →https://doi.org/10.1609/icwsm.v12i1.15041openalex-snapshot
Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media
inferredcites →https://doi.org/10.1609/icwsm.v5i1.14168openalex-snapshot
Understanding the Demographics of Twitter Users
inferredcites →https://doi.org/10.2196/13090openalex-snapshot
Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus
inferredcites →https://doi.org/10.2196/18444openalex-snapshot
Misinformation of COVID-19 on the Internet: Infodemiology Study
inferredcites →https://doi.org/10.2196/19273openalex-snapshot
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set
inferredcites →https://doi.org/10.2196/19458openalex-snapshot
COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data
inferredcites →https://doi.org/10.2196/jmir.1249openalex-snapshot
Social Media Use in the United States: Implications for Health Communication
inferredcites →https://doi.org/10.2307/20042144openalex-snapshot
Dezinformatsia: Active Measures in Soviet Strategy
inferredcites →https://doi.org/10.3109/09638288.2012.656792openalex-snapshot
Negotiating the coresearcher mandate – service users’ experiences of doing collaborative research on mental health
inferredcites →https://doi.org/10.3346/jkms.2020.35.e256openalex-snapshot
Information and Misinformation on COVID-19: a Cross-Sectional Survey Study
inferredcites →https://doi.org/10.3389/fpsyg.2019.00205openalex-snapshot
A Systematic Review and Meta-Analysis of Psychological Research on Conspiracy Beliefs: Field Characteristics, Measurement Instruments, and Associations With Personality Traits
inferredcites →https://doi.org/10.37016/mr-2020-015openalex-snapshot
Why do people believe COVID-19 conspiracy theories?
inferredcites →https://doi.org/10.37016/mr-2020-024openalex-snapshot
Misinformation in action: Fake news exposure is linked to lower trust in media, higher trust in government when your side is in power
inferredcites →https://doi.org/10.48550/arxiv.2003.13907openalex-snapshot
A first look at COVID-19 information and misinformation sharing on Twitter
inferredcites →https://doi.org/10.5596/c17-011openalex-snapshot
Denying to the Grave: Why We Ignore the Facts that Will Save Us
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation
inferredcites →https://doi.org/10.7759/cureus.7255openalex-snapshot
Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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How do conspiratorial explanations differ from non‐conspiratorial explanations? A content analysis of real‐world online articles
inferred← citeshttps://doi.org/10.1007/978-3-030-67930-9_58-1openalex-snapshot
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Palestine and the COVID-19 Vaccine Infodemic on Social Media
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Detection of Conspiracy Theories from Tweets Using NLI-Based Zero Shot Text Classification Models
inferred← citeshttps://doi.org/10.1007/978-3-031-47281-7_39openalex-snapshot
When in Memeland, Speak in Memes: Contributions of Design Towards the Betterment of Online Behavior Regarding Public Health
inferred← citeshttps://doi.org/10.1007/s00521-022-07797-yopenalex-snapshot
Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review
inferred← citeshttps://doi.org/10.1007/s10728-025-00546-xopenalex-snapshot
Layperson and Healthcare Professional Experiences of Medical Misinformation About Masks on Social Media During the Covid-19 Pandemic: A Thematic Framework Analysis
inferred← citeshttps://doi.org/10.1007/s10900-021-01053-5openalex-snapshot
Online News Coverage of COVID-19 Long Haul Symptoms
inferred← citeshttps://doi.org/10.1007/s12652-023-04619-4openalex-snapshot
Automatic detection of health misinformation: a systematic review
inferred← citeshttps://doi.org/10.1007/s42001-024-00311-5openalex-snapshot
Comparing location-specific and location-open social media data: methodological lessons from a study of blaming of minorities on Twitter during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1016/b978-0-323-90237-3.00014-xopenalex-snapshot
Moving inside, online, and onto the streets: the isomorphic influence of online social movements, in real life
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104957openalex-snapshot
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
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.heliyon.2024.e34103openalex-snapshot
COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter
inferred← citeshttps://doi.org/10.1075/pbns.354.04musopenalex-snapshot
Figurative framing in political interaction
inferred← citeshttps://doi.org/10.1080/01629778.2025.2579551openalex-snapshot
Blended dystopia: correlates of popular support for conspiracy theories in Lithuania
inferred← citeshttps://doi.org/10.1080/0965254x.2022.2113911openalex-snapshot
Communication during pandemic: who should tweet about COVID and how?
inferred← citeshttps://doi.org/10.1080/10447318.2024.2401249openalex-snapshot
Attitude Towards AI: Potential Influence of Conspiracy Belief, XAI Experience and Locus of Control
inferred← citeshttps://doi.org/10.1080/10758216.2022.2082482openalex-snapshot
Coronavirus Conspiracy Theories in Southeast Europe: (Non-)Believers, Social Network Bubbles, and the Discourse of Blame
inferred← citeshttps://doi.org/10.1080/21645515.2021.2003647openalex-snapshot
Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations
inferred← citeshttps://doi.org/10.1108/lht-08-2021-0261openalex-snapshot
Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020571openalex-snapshot
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
inferred← citeshttps://doi.org/10.1111/cts.13385openalex-snapshot
The vaccine hesitancy continuum among hesitant adopters of the COVID‐19 vaccine
inferred← citeshttps://doi.org/10.1136/postgradmedj-2021-140685openalex-snapshot
Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines
inferred← citeshttps://doi.org/10.1140/epjds/s13688-024-00470-5openalex-snapshot
Developing a hierarchical model for unraveling conspiracy theories
inferred← citeshttps://doi.org/10.1145/3487553.3524665openalex-snapshot
Hoaxes and Hidden agendas: A Twitter Conspiracy Theory Dataset
inferred← citeshttps://doi.org/10.1145/3524498openalex-snapshot
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey
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Security Aspects of Hybrid War, COVID-19 Pandemic and Cyber-Social Vulnerabilities
inferred← citeshttps://doi.org/10.1177/00957984251332764openalex-snapshot
Sociocultural Factors Related to COVID Vaccine Status in African Americans
inferred← citeshttps://doi.org/10.1177/02683962231175923openalex-snapshot
Unveiling the formation of conspiracy theory on social media: A discourse analysis
inferred← citeshttps://doi.org/10.1177/13548565221091809openalex-snapshot
Measuring the diffusion of conspiracy theories in digital information ecologies
inferred← citeshttps://doi.org/10.1177/14614448221105877openalex-snapshot
The use of emotions in conspiracy and debunking videos to engage publics on YouTube
inferred← citeshttps://doi.org/10.1177/14614448231153959openalex-snapshot
The emotional effects of multimodal disinformation: How multimodality, issue relevance, and anxiety affect misperceptions about the flu vaccine
inferred← citeshttps://doi.org/10.1177/20531680231193514openalex-snapshot
By any memes necessary: Belief- and chaos-driven motives for sharing conspiracy theories on social media
inferred← citeshttps://doi.org/10.1177/20552076231158033openalex-snapshot
Anti-vaccination attitude trends during the COVID-19 pandemic: A machine learning-based analysis of tweets
inferred← citeshttps://doi.org/10.1177/20563051221126051openalex-snapshot
COVID-19 Conspiracy Theories Discussion on Twitter
inferred← citeshttps://doi.org/10.1177/20563051241274665openalex-snapshot
More Than Meets the Reply: Examining Emotional Belonging in Far-Right Social Media Space
inferred← citeshttps://doi.org/10.1287/isre.2022.0494openalex-snapshot
Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset
inferred← citeshttps://doi.org/10.1371/journal.pone.0295414openalex-snapshot
Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding
inferred← citeshttps://doi.org/10.1515/iwp-2022-2225openalex-snapshot
Topic-Modeling-Ansätze für Social Media Kommunikation in der Coronapandemie
inferred← citeshttps://doi.org/10.1609/icwsm.v17i1.22216openalex-snapshot
Codes, Patterns and Shapes of Contemporary Online Antisemitism and Conspiracy Narratives – an Annotation Guide and Labeled German-Language Dataset in the Context of COVID-19
inferred← citeshttps://doi.org/10.17140/phoj-8-164openalex-snapshot
The Misinfodemic and Its Effects on COVID-19 Preventive Strategies in Socially Vulnerable Populations
inferred← citeshttps://doi.org/10.18683/germs.2021.1280openalex-snapshot
he challenges to a successful COVID-19 vaccination programme in Africa
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inferred← citeshttps://doi.org/10.2196/32127openalex-snapshot
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inferred← citeshttps://doi.org/10.2196/41134openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fpsyg.2023.1164725openalex-snapshot
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Perspectives on Mass Media and Governmental Measures during the 2020 COVID-19 Pandemic in a Romanian Sample of Healthcare Practitioners
inferred← citeshttps://doi.org/10.3390/ijerph18168507openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ijerph192416376openalex-snapshot
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inferred← citeshttps://doi.org/10.4324/9781003231769openalex-snapshot
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inferred← citeshttps://doi.org/10.62843/jrsr/2024.3a171openalex-snapshot
Community Perceptions on Social Media and COVID-19: Insights from a Thematic Analysis
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Permacrisis, Conspiracy Stories and Metaphors
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