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Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2018.16865openalex-snapshot
Addressing Health-Related Misinformation on Social Media
inferredcites →https://doi.org/10.1016/j.ajic.2016.05.025openalex-snapshot
Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat
inferredcites →https://doi.org/10.1016/j.chaos.2020.110123openalex-snapshot
Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics
inferredcites →https://doi.org/10.1016/j.dld.2007.09.006openalex-snapshot
Systematic review and meta-analysis of observational studies on the prevalence of fractures in coeliac disease
inferredcites →https://doi.org/10.1016/j.dsx.2020.07.039openalex-snapshot
Fighting infodemic: Need for robust health journalism in India
inferredcites →https://doi.org/10.1016/j.eclinm.2020.100376openalex-snapshot
Governments and international institutions should urgently attend to the unjust disparities that COVID-19 is exposing and causing
inferredcites →https://doi.org/10.1016/j.ijnurstu.2020.103644openalex-snapshot
COVID-19 pandemic, infodemic and the role of eHealth literacy
inferredcites →https://doi.org/10.1016/s0002-9343(02)01473-0openalex-snapshot
Infodemiology: the epidemiology of (mis)information
inferredcites →https://doi.org/10.1016/s0140-6736(20)30461-xopenalex-snapshot
How to fight an infodemic
inferredcites →https://doi.org/10.1038/d41586-018-07034-4openalex-snapshot
The biggest pandemic risk? Viral misinformation
inferredcites →https://doi.org/10.1038/d41586-020-01266-zopenalex-snapshot
Pseudoscience and COVID-19 — we’ve had enough already
inferredcites →https://doi.org/10.1044/teaching-older-students-pragmatic-skills-for-social-media-useopenalex-snapshot
Teaching Older Students Pragmatic Skills for Social Media Use
inferredcites →https://doi.org/10.1057/s41271-020-00247-wopenalex-snapshot
Leveraging media and health communication strategies to overcome the COVID-19 infodemic
inferredcites →https://doi.org/10.1080/10410236.2017.1331312openalex-snapshot
See Something, Say Something: Correction of Global Health Misinformation on Social Media
inferredcites →https://doi.org/10.1093/ofid/ofaa258openalex-snapshot
An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak
inferredcites →https://doi.org/10.1109/asonam.2016.7752221openalex-snapshot
Understanding citizen reactions and Ebola-related information propagation on social media
inferredcites →https://doi.org/10.1111/hir.12320openalex-snapshot
An exploration of how fake news is taking over social media and putting public health at risk
inferredcites →https://doi.org/10.1126/sciadv.aaw7449openalex-snapshot
The effects of corrective information about disease epidemics and outbreaks: Evidence from Zika and yellow fever in Brazil
inferredcites →https://doi.org/10.1136/bmj.g6178openalex-snapshot
Ebola, Twitter, and misinformation: a dangerous combination?
inferredcites →https://doi.org/10.1177/0956797617714579openalex-snapshot
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
inferredcites →https://doi.org/10.1177/0963721416649347openalex-snapshot
The Consequences of Reading Inaccurate Information
inferredcites →https://doi.org/10.2196/18444openalex-snapshot
Misinformation of COVID-19 on the Internet: Infodemiology Study
inferredcites →https://doi.org/10.2196/18825openalex-snapshot
Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
inferredcites →https://doi.org/10.2196/19659openalex-snapshot
Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation
inferredcites →https://doi.org/10.2196/20775openalex-snapshot
Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study
inferredcites →https://doi.org/10.2196/21360openalex-snapshot
Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media
inferredcites →https://doi.org/10.2196/21820openalex-snapshot
How to Fight an Infodemic: The Four Pillars of Infodemic Management
inferredcites →https://doi.org/10.2196/21978openalex-snapshot
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study
inferredcites →https://doi.org/10.2196/22205openalex-snapshot
Associations Between COVID-19 Misinformation Exposure and Belief With COVID-19 Knowledge and Preventive Behaviors: Cross-Sectional Online Study
inferredcites →https://doi.org/10.2196/24125openalex-snapshot
Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis
inferredcites →https://doi.org/10.2196/jmir.2911openalex-snapshot
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
inferredcites →https://doi.org/10.3390/ijerph17082788openalex-snapshot
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China
inferredcites →https://doi.org/10.37016/mr-2020-014openalex-snapshot
Identifying patterns to prevent the spread of misinformation during epidemics.
inferredcites →https://doi.org/10.3961/jpmph.20.094openalex-snapshot
Impact of Rumors and Misinformation on COVID-19 in Social Media
inferredcites →https://doi.org/10.4135/9781483375519.n87openalex-snapshot
British Broadcasting Corporation
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.
inferred← citeshttps://doi.org/10.2139/ssrn.4811282openalex-extracted
How Do Affective and Cognitive Responses to Misinformation Exposure Shape Subsequent Information Seeking and Avoidance?
inferred← citeshttps://doi.org/10.1007/978-1-4614-7883-6_829-1openalex-snapshot
Vaccinations and Misinformation
inferred← citeshttps://doi.org/10.1007/978-3-030-80962-1_330-1openalex-snapshot
Global HPV Vaccination Post-pandemic
inferred← citeshttps://doi.org/10.1007/978-3-030-96326-2_7openalex-snapshot
COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-55865-8_14openalex-snapshot
NLP Applications—Social Media
inferred← citeshttps://doi.org/10.1007/978-3-031-76422-6_829openalex-snapshot
Vaccinations and Misinformation
inferred← citeshttps://doi.org/10.1007/978-3-032-00775-9_330openalex-snapshot
Global HPV Vaccination Post-pandemic
inferred← citeshttps://doi.org/10.1007/978-981-19-5787-1_4openalex-snapshot
Coping with COVID-19: The WeChat Way
inferred← citeshttps://doi.org/10.1007/978-981-19-5787-1_6openalex-snapshot
Reporting COVID-19 via Crowdsourcing: The US vs. China
inferred← citeshttps://doi.org/10.1016/j.bodyim.2023.101677openalex-snapshot
Validation of the Appearance-Related Social Media Consciousness Scale with Chinese adolescents and young adults
inferred← citeshttps://doi.org/10.1016/j.chb.2021.107111openalex-snapshot
“I enjoy thinking critically, and I'm in control”: Examining the influences of media literacy factors on misperceptions amidst the COVID-19 infodemic
inferred← citeshttps://doi.org/10.1016/j.chb.2023.107790openalex-snapshot
Fake news in a time of plague: Exploring individuals’ online information management in the COVID-19 era
inferred← citeshttps://doi.org/10.1016/j.chb.2024.108136openalex-snapshot
Heart or mind? The impact of congruence on the persuasiveness of cognitive versus affective appeals in debunking messages on social media during public health crises
inferred← citeshttps://doi.org/10.1016/j.encep.2021.12.005openalex-snapshot
Théories du complot et COVID-19 : comment naissent les croyances complotistes ?
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2022.103078openalex-snapshot
Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities
inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2024.105478openalex-snapshot
Have we found a solution for health misinformation? A ten-year systematic review of health misinformation literature 2013–2022
inferred← citeshttps://doi.org/10.1016/j.imr.2023.100975openalex-snapshot
Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102989openalex-snapshot
Explaining education-based difference in systematic processing of COVID-19 information: Insights into global recovery from infodemic
inferred← citeshttps://doi.org/10.1016/j.socscimed.2023.116132openalex-snapshot
Hope over fear: The interplay between threat information and hope appeal corrections in debunking early COVID-19 misinformation
inferred← citeshttps://doi.org/10.1080/23808985.2023.2225489openalex-snapshot
Health misinformation: what it is, why people believe it, how to counter it
inferred← citeshttps://doi.org/10.1093/heapro/daad053openalex-snapshot
Public sector’s misinformation debunking during the public health campaign: a case of Hong Kong
inferred← citeshttps://doi.org/10.1108/ijoem-05-2022-0860openalex-snapshot
The impact of COVID-19 information overload on Vietnamese consumers' online purchase intention
inferred← citeshttps://doi.org/10.1108/oir-03-2025-0183openalex-snapshot
Others are more affected than me: the influence of presumed influence and affective responses on misinformation correction intentions
inferred← citeshttps://doi.org/10.1109/csci58124.2022.00146openalex-snapshot
A Study on Public Sentiment of Comments from COVID-19-related Videos: Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA)
inferred← citeshttps://doi.org/10.1109/isbdas64762.2025.11117105openalex-snapshot
The Unconfirmed Information-Disease Coupling Transmission Considering Individual Information Literacy and Policy Intervention
inferred← citeshttps://doi.org/10.1155/2023/6667492openalex-snapshot
Teachers’ Experiences of Keeping Special Education Students Informed of the COVID-19 Pandemic: A Qualitative Study
inferred← citeshttps://doi.org/10.1162/qss_a_00354openalex-snapshot
Measuring the impact of the COVID-19 pandemic on the activeness, efficiency, and international collaboration of clinical trials
inferred← citeshttps://doi.org/10.11645/17.1.3281openalex-snapshot
Transnational Chinese students’ online information literacies during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1177/13548565221102594openalex-snapshot
WeChat users’ debunking strategies in response to COVID-19 conspiracy theories: A mixed-methods study
inferred← citeshttps://doi.org/10.1177/19322968231184448openalex-snapshot
Diabetes Research and Resource Sharing During the COVID-19 Pandemic: A Systematic Review and Experience from an Academic/Non-Profit Resource Website
inferred← citeshttps://doi.org/10.1186/s12992-024-01026-yopenalex-snapshot
Where should “Humans” be in “One Health”? Lessons from COVID-19 for One Health
inferred← citeshttps://doi.org/10.1287/ijoc.2024.0660openalex-snapshot
Responsible AI-Enabled Infodemic Management: A Hypergraph-Based Infodemic Topic Prediction Framework
inferred← citeshttps://doi.org/10.14745/ccdr.v47i12a03openalex-snapshot
Among sheeples and antivaxxers: Social media responses to COVID-19 vaccine news posted by Canadian news organizations, and recommendations to counter vaccine hesitancy
inferred← citeshttps://doi.org/10.17705/1pais.15103openalex-snapshot
Governance of Social Media Platforms: A Literature Review
inferred← citeshttps://doi.org/10.2147/rmhp.s374420openalex-snapshot
Effectiveness of Social Video Platforms in Promoting COVID-19 Vaccination Among Youth: A Content-Specific Analysis of COVID-19 Vaccination Topic Videos on Bilibili
inferred← citeshttps://doi.org/10.2196/31793openalex-snapshot
(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.2196/36941openalex-snapshot
Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia
inferred← citeshttps://doi.org/10.2196/38573openalex-snapshot
The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets
inferred← citeshttps://doi.org/10.2196/39133openalex-snapshot
Psychophysiological Reactions of Internet Users Exposed to Fluoride Information and Disinformation: Protocol for a Randomized Controlled Trial
inferred← citeshttps://doi.org/10.2196/40201openalex-snapshot
The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review
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Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach
inferred← citeshttps://doi.org/10.2196/43349openalex-snapshot
Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review
inferred← citeshttps://doi.org/10.2196/45051openalex-snapshot
COVID-19 Vaccine–Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis
inferred← citeshttps://doi.org/10.2196/52189openalex-snapshot
Assessing Electronic Health Literacy in Individuals With the Post–COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study
inferred← citeshttps://doi.org/10.2196/58518openalex-snapshot
Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis
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The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review
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Using Reddit data to investigate perspectives on the COVID-19 pandemic using natural language processing: a comparative study of the US, the UK, Canada and Australia (Preprint)
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Unmasking the Twitter Discourses on Masks during the COVID-19 Pandemic: A User Cluster-based BERT Topic Modeling Approach (Preprint)
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The Double-Edged Sword Effect of Social Media on COVID-19 in Sub-Saharan Africa
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Utilizing Information Technology to Fight the Spread of the Covid-19 Virus
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Exploring the impact of social media exposure patterns on people’s belief in fake news during COVID-19: A cross-gender study
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Complementary, Alternative, and Integrative Medicine-Specific COVID-19 Misinformation on Social Media: A Scoping Review
inferred← citeshttps://doi.org/10.31862/1819-463x-2024-1-37-47openalex-snapshot
Infodemic control tactics at the initial stage: experience of China.
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Study on the communication effect of the social livestream of cabin hospitals' construction process during the COVID-19 outbreak
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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/ijerph19116751openalex-snapshot
How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China
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Spatial-Temporal Pattern Evolution of Public Sentiment Responses to the COVID-19 Pandemic in Small Cities of China: A Case Study Based on Social Media Data Analysis
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The Relationship between Sources of COVID-19 Vaccine Information and Willingness to Be Vaccinated: An Internet-Based Cross-Sectional Study in Japan
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COVID-19 PANDEMİSİ SÜRECİNDE BİLGİ VE HABER KAYNAKLARINA ULAŞMADA YENİ BİR RİSK OLAN “İNFODEMİ” YÖNETİMİNDE KULLANILAN İLETİŞİM STRATEJİLERİ
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