Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18700, first published .
Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

Journals

  1. Pobiruchin M, Zowalla R, Wiesner M. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study. Journal of Medical Internet Research 2020;22(8):e19629 View
  2. Picone M, Inoue S, DeFelice C, Naujokas M, Sinrod J, Cruz V, Stapleton J, Sinrod E, Diebel S, Wassman E. Social Listening as a Rapid Approach to Collecting and Analyzing COVID-19 Symptoms and Disease Natural Histories Reported by Large Numbers of Individuals. Population Health Management 2020;23(5):350 View
  3. Zhang D, Zhou L, Lim J. From Networking to Mitigation: The Role of Social Media and Analytics in Combating the COVID-19 Pandemic. Information Systems Management 2020;37(4):318 View
  4. Campos-Castillo C, Laestadius L. Racial and Ethnic Digital Divides in Posting COVID-19 Content on Social Media Among US Adults: Secondary Survey Analysis. Journal of Medical Internet Research 2020;22(7):e20472 View
  5. Liao Q, Yuan J, Dong M, Yang L, Fielding R, Lam W. Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. Journal of Medical Internet Research 2020;22(5):e18796 View
  6. Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421 View
  7. Mackey T, Purushothaman V, Li J, Shah N, Nali M, Bardier C, Liang B, Cai M, Cuomo R. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e19509 View
  8. Ahmed W, Vidal-Alaball J, Downing J, López Seguí F. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(5):e19458 View
  9. Peng Z, Wang R, Liu L, Wu H. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020;9(6):402 View
  10. Walrave M, Waeterloos C, Ponnet K. Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach. JMIR Public Health and Surveillance 2020;6(3):e20572 View
  11. Eltoukhy A, Shaban I, Chan F, Abdel-Aal M. Data Analytics for Predicting COVID-19 Cases in Top Affected Countries: Observations and Recommendations. International Journal of Environmental Research and Public Health 2020;17(19):7080 View
  12. Xu Q, Shen Z, Shah N, Cuomo R, Cai M, Brown M, Li J, Mackey T. Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e24125 View
  13. Burzyńska J, Bartosiewicz A, Rękas M. The social life of COVID-19: Early insights from social media monitoring data collected in Poland. Health Informatics Journal 2020;26(4):3056 View
  14. Galehdar N, Toulabi T, Kamran A, Heydari H. Exploring nurses’ perception about the care needs of patients with COVID-19: a qualitative study. BMC Nursing 2020;19(1) View
  15. Tayarani N. M. Applications of artificial intelligence in battling against covid-19: A literature review. Chaos, Solitons & Fractals 2021;142:110338 View
  16. Shahsavari S, Holur P, Wang T, Tangherlini T, Roychowdhury V. Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science 2020;3(2):279 View
  17. Chen S, Zhou L, Song Y, Xu Q, Wang P, Wang K, Ge Y, Janies D. A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research 2021;23(1):e24889 View
  18. Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85 View
  19. Huang W, Cao B, Yang G, Luo N, Chao N. Turn to the Internet First? Using Online Medical Behavioral Data to Forecast COVID-19 Epidemic Trend. Information Processing & Management 2021;58(3):102486 View
  20. Guo F, Tang B, Qin D, Zhao T, Su Y, McGrath C, Hua F, He H. The Impact of the COVID-19 Epidemic on Orthodontic Patients in China: An Analysis of Posts on Weibo. Frontiers in Medicine 2020;7 View
  21. Chang A, Schulz P, Tu S, Liu M. Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques. Journal of Medical Internet Research 2020;22(11):e21504 View
  22. Chandrasekaran R, Mehta V, Valkunde T, Moustakas E. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e22624 View
  23. Chang C, Monselise M, Yang C. What Are People Concerned About During the Pandemic? Detecting Evolving Topics about COVID-19 from Twitter. Journal of Healthcare Informatics Research 2021;5(1):70 View
  24. Haupt M, Jinich-Diamant A, Li J, Nali M, Mackey T. Characterizing twitter user topics and communication network dynamics of the “Liberate” movement during COVID-19 using unsupervised machine learning and social network analysis. Online Social Networks and Media 2021;21:100114 View
  25. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
  26. Basch C, Fera J, Pierce I, Basch C. Promoting Mask Use on TikTok: Descriptive, Cross-sectional Study. JMIR Public Health and Surveillance 2021;7(2):e26392 View
  27. Mahmoud H, Taha M, Askoura A, Aleem M, Omran A, Aboelela S. Can chest CT improve sensitivity of COVID-19 diagnosis in comparison to PCR? A meta-analysis study. The Egyptian Journal of Otolaryngology 2020;36(1) View
  28. Luo C, Li Y, Chen A, Tang Y, Capraro V. What triggers online help-seeking retransmission during the COVID-19 period? Empirical evidence from Chinese social media. PLOS ONE 2020;15(11):e0241465 View
  29. Rao Q, Zhang Z, Lv Y, Zhao Y, Bai L, Hou X. Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo. JMIR Medical Informatics 2020;8(10):e20558 View
  30. Kumar S, Xu C, Ghildayal N, Chandra C, Yang M. Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic. Annals of Operations Research 2022;319(1):823 View
  31. Lyu J, Luli G. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Journal of Medical Internet Research 2021;23(2):e25108 View
  32. Geronikolou S, Chrousos G. COVID-19–Induced Fear in Infoveillance Studies: Pilot Meta-analysis Study of Preliminary Results. JMIR Formative Research 2021;5(2):e21156 View
  33. Wang X, Chen L, Shi J, Tang H. Who Sets the Agenda? the Dynamic Agenda Setting of the Wildlife Issue on Social Media. Environmental Communication 2023;17(3):245 View
  34. Zhou Q, Zhang C. Breaking community boundary: Comparing academic and social communication preferences regarding global pandemics. Journal of Informetrics 2021;15(3):101162 View
  35. Domalewska D. An analysis of COVID-19 economic measures and attitudes: evidence from social media mining. Journal of Big Data 2021;8(1) View
  36. Schück S, Foulquié P, Mebarki A, Faviez C, Khadhar M, Texier N, Katsahian S, Burgun A, Chen X. Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling. JMIR Formative Research 2021;5(4):e23593 View
  37. Cai Z, Zheng S, Huang Y, Au W, Qiu Z, Wu K. The Interactive Effects of Cognition on Coping Styles among Chinese during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(6):3148 View
  38. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  39. Cuomo R, Purushothaman V, Li J, Cai M, Mackey T. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1) View
  40. Shah A, Naqvi R, Jeong O. Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets. International Journal of Environmental Research and Public Health 2021;18(9):4743 View
  41. Safdari R, Rezayi S, Saeedi S, Tanhapour M, Gholamzadeh M. Using data mining techniques to fight and control epidemics: A scoping review. Health and Technology 2021;11(4):759 View
  42. Zhang Y, Li R, Sun X, Peng M, Li X. Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China. Frontiers in Psychiatry 2021;12 View
  43. Raza S, Emenyeonu O, Yousaf M, Iftikhar M. Citizen journalism practices during COVID-19 in spotlight: influence of user-generated contents about economic policies in perceiving government performance. Information Discovery and Delivery 2022;50(2):142 View
  44. Bour C, Ahne A, Schmitz S, Perchoux C, Dessenne C, Fagherazzi G. The Use of Social Media for Health Research Purposes: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25736 View
  45. Guo J, Sisler S, Wang C, Wallace A. Exploring experiences of COVID‐19‐positive individuals from social media posts. International Journal of Nursing Practice 2021;27(5) View
  46. Deng W, Yang Y. Cross-Platform Comparative Study of Public Concern on Social Media during the COVID-19 Pandemic: An Empirical Study Based on Twitter and Weibo. International Journal of Environmental Research and Public Health 2021;18(12):6487 View
  47. Arpaci I, Alshehabi S, Mahariq I, Topcu A. An Evolutionary Clustering Analysis of Social Media Content and Global Infection Rates During the COVID-19 Pandemic. Journal of Information & Knowledge Management 2021;20(03):2150038 View
  48. Zinchenko Y, Shaigerova L, Almazova O, Shilko R, Vakhantseva O, Dolgikh A, Veraksa A, Kalimullin A. The Spread of COVID-19 in Russia: Immediate Impact on Mental Health of University Students. Psychological Studies 2021;66(3):291 View
  49. Al-Rawi A, Grepin K, Li X, Morgan R, Wenham C, Smith J. Investigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data. Journal of Healthcare Informatics Research 2021;5(3):249 View
  50. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View
  51. Liu S, Li J, Liu J. Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis. Journal of Medical Internet Research 2021;23(8):e30251 View
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  53. Yuan M, Liu T, Yang C. Exploring the Relationship among Human Activities, COVID-19 Morbidity, and At-Risk Areas Using Location-Based Social Media Data: Knowledge about the Early Pandemic Stage in Wuhan. International Journal of Environmental Research and Public Health 2022;19(11):6523 View
  54. Tadros E, Morgan A, Durante K. Criticism, Compassion, and Conspiracy Theories: A Thematic Analysis of What Twitter Users Are Saying About COVID-19 in Correctional Settings. International Journal of Offender Therapy and Comparative Criminology 2024;68(4):370 View
  55. Dey V, Krasniak P, Nguyen M, Lee C, Ning X. A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR Medical Informatics 2021;9(11):e29768 View
  56. Ajibade P, Muchaonyerwa N. The importance of data mining, user information behaviour and interaction audit for information literacy. Library Hi Tech News 2023;40(4):12 View
  57. You G, Gan S, Guo H, Dagestani A. Public Opinion Spread and Guidance Strategy under COVID-19: A SIS Model Analysis. Axioms 2022;11(6):296 View
  58. Ford J, Marengo D, Olff M, Armour C, Elhai J, Almquist Z, Spiro E. Temporal trends in health worker social media communication during the COVID‐19 pandemic. Research in Nursing & Health 2022;45(6):636 View
  59. Tsao S, MacLean A, Chen H, Li L, Yang Y, Butt Z. Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada. International Journal of Public Health 2022;67 View
  60. Ngai C, Singh R, Lu W, Yao L, Koon A. Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak. Health Communication 2023;38(10):2141 View
  61. Obiedat R, Al-Qaisi L, Qaddoura R, Harfoushi O, Al-Zoubi A. An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era. Symmetry 2021;13(12):2287 View
  62. MALAK B, AYDIN A. Türkiye’de Covid-19’a yönelik ilk psikososyal tepkiler: Bir içerik analizi. Turkish Journal of Family Medicine and Primary Care 2021;15(3):581 View
  63. Yang T, Shen X, Yang Y, Gan Y, Feng J, Lei Z, Zhang W, Zhao Y, Shen L. Timeliness of information disclosure during the low transmission period of COVID-19: resident-level observational study in China. BMC Public Health 2022;22(1) View
  64. Chen J, Zhou Y, Lv L. Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysis. Education and Information Technologies 2023;28(1):741 View
  65. Kalezhi J, Chibuluma M, Chembe C, Chama V, Lungo F, Kunda D. Modelling Covid-19 infections in Zambia using data mining techniques. Results in Engineering 2022;13:100363 View
  66. Song L, Li Q, Shi H, Zhang P, Algalil F. Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib. Applied Bionics and Biomechanics 2022;2022:1 View
  67. Lian A, Du J, Tang L. Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter Data. Vaccines 2022;10(1):103 View
  68. Sukhwal P, Kankanhalli A. Determining containment policy impacts on public sentiment during the pandemic using social media data. Proceedings of the National Academy of Sciences 2022;119(19) View
  69. Abdel-Razig S, Anglade P, Ibrahim H. Impact of the COVID-19 Pandemic on a Physician Group’s WhatsApp Chat: Qualitative Content Analysis. JMIR Formative Research 2021;5(12):e31791 View
  70. Suri J, Agarwal S, Gupta S, Puvvula A, Viskovic K, Suri N, Alizad A, El-Baz A, Saba L, Fatemi M, Naidu D. Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics 2021;25(11):4128 View
  71. Li Z, Zhou L, Yang X, Jia H, Li W, Zhang J. User Sentiment Analysis of COVID-19 via Adversarial Training Based on the BERT-FGM-BiGRU Model. Systems 2023;11(3):129 View
  72. Bibi A, Khan I, Zaman K, Sriyanto S, Sasmoko , Khan A, Sánchez Granero M. Does money buy health? evaluation of stock market performance and economic growth in the wake of the COVID-19 pandemic. PLOS ONE 2022;17(7):e0269879 View
  73. Gaspar R, Domingos S, Toscano H, Filipe J, Leiras G, Raposo B, Pereira C, Godinho C, Francisco R, Silva C, Arriaga M. Crises social sensing: longitudinal monitoring of social perceptions of systemic risk during public health crisis. Journal of Risk Research 2023;26(4):345 View
  74. Zeng L, Li R. Construction safety and health hazard awareness in Web of Science and Weibo between 1991 and 2021. Safety Science 2022;152:105790 View
  75. Shameer S. Mass media and social media during COVID-19: A review. Journal of Dr. NTR University of Health Sciences 2021;10(3):129 View
  76. Zhu R, Hu X. The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China. International Journal of Disaster Risk Reduction 2023;84:103469 View
  77. Zhang Z, Feng G, Xu J, Zhang Y, Li J, Huang J, Akinwunmi B, Zhang C, Ming W. The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study. JMIR Public Health and Surveillance 2021;7(11):e32936 View
  78. Ding Q, Massey D, Huang C, Grady C, Lu Y, Cohen A, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Dreyer R, Roy B, Krumholz H. Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(9):e29413 View
  79. Ruiz-Núñez C, Herrera-Peco I, Campos-Soler S, Carmona-Pestaña Á, Benítez de Gracia E, Peña Deudero J, García-Notario A. Sentiment Analysis on Twitter: Role of Healthcare Professionals in the Global Conversation during the AstraZeneca Vaccine Suspension. International Journal of Environmental Research and Public Health 2023;20(3):2225 View
  80. Elyashar A, Plochotnikov I, Cohen I, Puzis R, Cohen O. The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses. Journal of Medical Internet Research 2021;23(10):e30217 View
  81. Ragab M, Choudhry H, H. Asseri A, Binyamin S, Al-Rabia M. Enhanced Gravitational Search Optimization with Hybrid Deep Learning Model for COVID-19 Diagnosis on Epidemiology Data. Healthcare 2022;10(7):1339 View
  82. Zhou S, Zheng X. Agenda Dynamics on Social Media During COVID-19 Pandemic: Interactions Between Public, Media, and Government Agendas. Communication Studies 2022;73(3):211 View
  83. Lamsal R, Harwood A, Read M. Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey. ACM Computing Surveys 2023;55(4):1 View
  84. Lamsal R, Harwood A, Read M. Twitter conversations predict the daily confirmed COVID-19 cases. Applied Soft Computing 2022;129:109603 View
  85. Wang Z, Whittington J, Yuan H, Miao H, Tian H, Stenseth N. Evaluating the effectiveness of control measures in multiple regions during the early phase of the COVID-19 pandemic in 2020. Biosafety and Health 2021;3(5):264 View
  86. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  87. Bravo C, Castells V, Zietek-Gutsch S, Bodin P, Molony C, Frühwein M. Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours. Journal of Travel Medicine 2022;29(2) View
  88. Sui M, Hawkins I, Wang R. When falsehood wins? Varied effects of sensational elements on users’ engagement with real and fake posts. Computers in Human Behavior 2023;142:107654 View
  89. Blackie C, Gualtieri L, Kasturi S. Listening to Patients With Lupus: Why Not Proactively Integrate the Internet as a Resource to Drive Improved Care?. Journal of Medical Internet Research 2023;25:e44660 View
  90. Guo Y, Hou Y, Xiang H, Chen L. “Help Us!”: a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown. BMC Public Health 2023;23(1) View
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  93. Meksawasdichai S, Lerksuthirat T, Ongphiphadhanakul B, Sriphrapradang C. Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data. JMIR Cancer 2023;9:e48786 View
  94. Alnashwan R, O’Riordan A, Sorensen H. Multiple-Perspective Data-Driven Analysis of Online Health Communities. Healthcare 2023;11(20):2723 View
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  97. Chen Y, Liu X. How Chinese People Expressed Well-Being and Mobility Change During the COVID-19 Pandemic: An Analysis of Microblogs. The American Journal of Psychology 2023;136(2):143 View
  98. Lan D, Ren W, Ni K, Zhu Y. Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China’s Exit from the Zero-COVID Policy: Retrospective Infoveillance Study. Journal of Medical Internet Research 2023;25:e48789 View
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  102. Yangzi Z, Cheah K, Shaharom M. Enhancing Self-Leadership in Online Fitness Education and Training: Exploring Strategies and Addressing Challenges Among Social Media Influencers in Henan Province, China. SAGE Open 2023;13(4) View
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  107. Zhu B, Chen J, Luo S. The impact of citywide community quarantine policy on the urban fresh food availability: An insight from the topic clout on social media. International Journal of Disaster Risk Reduction 2024;108:104550 View
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Books/Policy Documents

  1. Chen L, Huang X, Zhang H, Niu B. Machine Learning for Cyber Security. View
  2. Wright K. Communicating Science in Times of Crisis. View
  3. Cui N, Shan R, Shen H, Da C, Cao Y, Szylit R, dos Santos M, Ulrich C. Nurses and COVID-19: Ethical Considerations in Pandemic Care. View
  4. Ren Q. Mobile Storytelling in an Age of Smartphones. View
  5. Awotunde J, Ogundokun R, Adeniyi E, Misra S. Healthcare Informatics for Fighting COVID-19 and Future Epidemics. View
  6. Ren Q. Coping with COVID-19, the Mobile Way. View
  7. Agbozo E, Watat J, Olaleye S. Data Science for COVID-19. View
  8. Dathe H, Paul P. Computational Science and Its Applications – ICCSA 2021. View
  9. Mao Y, Yang Q. The International Encyclopedia of Health Communication. View
  10. Jüttner K, Nowak P, Imeri A, Stock W. Social Computing and Social Media. View
  11. Hazimze H, Gaou S, Akhlil K. Advancements in Climate and Smart Environment Technology. View