This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19118, first published .
Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Authors of this article:

Qian Liu1, 2 Author Orcid Image ;   Zequan Zheng3, 4 Author Orcid Image ;   Jiabin Zheng3, 4 Author Orcid Image ;   Qiuyi Chen1 Author Orcid Image ;   Guan Liu5 Author Orcid Image ;   Sihan Chen3 Author Orcid Image ;   Bojia Chu3 Author Orcid Image ;   Hongyu Zhu3 Author Orcid Image ;   Babatunde Akinwunmi6, 7 Author Orcid Image ;   Jian Huang8 Author Orcid Image ;   Casper J P Zhang9 Author Orcid Image ;   Wai-Kit Ming3 Author Orcid Image
Article Authors Cited by (162) Tweetations (38) Metrics

Journals

  1. Petrova L, Kuznetsova T, Volodin V. Post-Pandemic Scenarios of Economic Development of Developed Countries and Russia. Finance: Theory and Practice 2020;24(4):47 View
  2. Golinelli D, Boetto E, Carullo G, Nuzzolese A, Landini M, Fantini M. Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature. Journal of Medical Internet Research 2020;22(11):e22280 View
  3. Akarturk B. The Role and Challenges of Using Digital Tools for COVID-19 Contact Tracing. The European Journal of Social & Behavioural Sciences 2020;29(3):208 View
  4. Al-Hasan A, Yim D, Khuntia J. Citizens’ Adherence to COVID-19 Mitigation Recommendations by the Government: A 3-Country Comparative Evaluation Using Web-Based Cross-Sectional Survey Data. Journal of Medical Internet Research 2020;22(8):e20634 View
  5. Huang Q, Kang Y. Mathematical Modeling of COVID-19 Control and Prevention Based on Immigration Population Data in China: Model Development and Validation. JMIR Public Health and Surveillance 2020;6(2):e18638 View
  6. Badell-Grau R, Cuff J, Kelly B, Waller-Evans H, Lloyd-Evans E. Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e19791 View
  7. Alomari E, Katib I, Albeshri A, Mehmood R. COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning. International Journal of Environmental Research and Public Health 2021;18(1):282 View
  8. Waggoner P. Community Detection in Google Searches Related to “Coronavirus”. Journal of Data Science 2021:334 View
  9. Lupton D, Lewis S. Learning about COVID-19: a qualitative interview study of Australians’ use of information sources. BMC Public Health 2021;21(1) View
  10. Boon-Itt S, Skunkan Y. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance 2020;6(4):e21978 View
  11. Shah A, Yan X, Qayyum A, Naqvi R, Shah S. Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. International Journal of Medical Informatics 2021;149:104434 View
  12. Kaveh-Yazdy F, Zarifzadeh S. Track Iran's national COVID-19 response committee’s major concerns using two-stage unsupervised topic modeling. International Journal of Medical Informatics 2021;145:104309 View
  13. Li J, Wang B, Ni A, Liu Q. Text Mining Analysis on Users’ Reviews for News Aggregator Toutiao. Journal of Physics: Conference Series 2021;1771(1):012008 View
  14. Li W, Sun K, Zhu Y, Song J, Yang J, Qian L, Wang S. Analyzing the Research Evolution in Response to COVID-19. ISPRS International Journal of Geo-Information 2021;10(4):237 View
  15. 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
  16. Do B, Tran T, Phan D, Nguyen H, Nguyen T, Nguyen H, Ha T, Dao H, Trinh M, Do T, Nguyen H, Vo T, Nguyen N, Tran C, Tran K, Duong T, Pham H, Nguyen L, Nguyen K, Chang P, Duong T. Health Literacy, eHealth Literacy, Adherence to Infection Prevention and Control Procedures, Lifestyle Changes, and Suspected COVID-19 Symptoms Among Health Care Workers During Lockdown: Online Survey. Journal of Medical Internet Research 2020;22(11):e22894 View
  17. Zhou P, He Y, Lyu C, Yang X. Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach. Vaccines 2020;8(4):691 View
  18. Browning M, Larson L, Sharaievska I, Rigolon A, McAnirlin O, Mullenbach L, Cloutier S, Vu T, Thomsen J, Reigner N, Metcalf E, D'Antonio A, Helbich M, Bratman G, Alvarez H, Lin C. Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PLOS ONE 2021;16(1):e0245327 View
  19. Jang H, Rempel E, Roth D, Carenini G, Janjua N. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Journal of Medical Internet Research 2021;23(2):e25431 View
  20. Älgå A, Eriksson O, Nordberg M. Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study. Journal of Medical Internet Research 2020;22(11):e21559 View
  21. Chan A, Wu C, Cheung A, Succi M. Characterization of an Open-Access Medical News Platform’s Readership During the COVID-19 Pandemic: Retrospective Observational Study. Journal of Medical Internet Research 2021;23(5):e26666 View
  22. 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
  23. Caulfield T, Bubela T, Kimmelman J, Ravitsky V, Blais J. Let’s do better: public representations of COVID-19 science. FACETS 2021;6(1):403 View
  24. Xue L, Jing S, Sun W, Liu M, Peng Z, Zhu H. Evaluating the impact of the travel ban within mainland China on the epidemic of the COVID-19. International Journal of Infectious Diseases 2021;107:278 View
  25. Grabowski D, Overgaard M, Meldgaard J, Johansen L, Willaing I. Disrupted Self-Management and Adaption to New Diabetes Routines: A Qualitative Study of How People with Diabetes Managed Their Illness during the COVID-19 Lockdown. Diabetology 2021;2(1):1 View
  26. Obiała J, Obiała K, Mańczak M, Owoc J, Olszewski R. COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media. Health Policy and Technology 2021;10(1):182 View
  27. de Melo T, Figueiredo C. Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach. JMIR Public Health and Surveillance 2021;7(2):e24585 View
  28. Ghasiya P, Okamura K. Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach. IEEE Access 2021;9:36645 View
  29. Wen F, Ye H, Wang Y, Xu Y, Zuo B. Icing on the Cake: “Amplification Effect” of Innovative Information Form in News Reports About COVID-19. Frontiers in Psychology 2021;12 View
  30. 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
  31. Zhang P. Analysis of the Public Health Functions of the Chinese Government in the Prevention and Control of COVID-19. Risk Management and Healthcare Policy 2021;Volume 14:237 View
  32. Sauer M, Truelove S, Gerste A, Limaye R. A Failure to Communicate? How Public Messaging Has Strained the COVID-19 Response in the United States. Health Security 2021;19(1):65 View
  33. Herman A. Indonesian government’s public communication management during a pandemic. Problems and Perspectives in Management 2021;19(1):244 View
  34. 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
  35. 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
  36. Massarani L, Neves L. Communicating the “Race” for the COVID-19 Vaccine: An Exploratory Study in Newspapers in the United States, the United Kingdom, and Brazil. Frontiers in Communication 2021;6 View
  37. Marcoux T, Galeano K, Galeano R, DiCicco K, Al Rubaye H, Mead E, Agarwal N, Galeano A. A public online resource to track COVID-19 misinfodemic. Social Network Analysis and Mining 2021;11(1) View
  38. Yaseen M, Saif A, Khan T, Yaseen M. Public Knowledge and Adherence to Hand Hygienic Guidelines for the Prevention of SARS-CoV-2 Transmission: A Cross-sectional Survey from Pakistan. Disaster Medicine and Public Health Preparedness 2022;16(5):1922 View
  39. MURATDAĞI G, SARICA E, KÖSE E, UNGAN S, AYDIN M, AYDIN A, AKAR E, TÜRKMEN A, ETÇİOĞLU E, ARSLAN E, ARIKAN A, ÖKSÜZ A, BÜYÜKDERELİ ATADAĞ Y. The evaluation of the news related to coronavirus in national media before and after the first declared case inTurkey. Konuralp Tıp Dergisi 2021;13(2):341 View
  40. Lee K, Kim B, Nan D, Kim J. Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data. International Journal of Environmental Research and Public Health 2021;18(12):6432 View
  41. Tri Sakti A, Mohamad E, Azlan A. Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media. Journal of Medical Internet Research 2021;23(8):e28249 View
  42. Gamsizkan Z, Kaya A, Sungur M. The Increasing Importance of the e-Health System after the COVID-19 Outbreak with New Healthcare Expectations. Eurasian Journal of Family Medicine 2021;10(2):84 View
  43. Er Saw P. BIOI Virtual Academic Series PART 1: Multidisciplinary Integration in Academia. BIO Integration 2020;1(2) View
  44. Jiang M, Dodoo N. Promoting Mask-Wearing in COVID-19 Brand Communications: Effects of Gain-Loss Frames, Self- or Other-Interest Appeals, and Perceived Risks. Journal of Advertising 2021;50(3):271 View
  45. Krawczyk K, Chelkowski T, Laydon D, Mishra S, Xifara D, Gibert B, Flaxman S, Mellan T, Schwämmle V, Röttger R, Hadsund J, Bhatt S. Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. Journal of Medical Internet Research 2021;23(6):e28253 View
  46. Jafarinejad F, Rahimi M, Mashayekhi H. Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran. Journal of Biomedical Informatics 2021;121:103862 View
  47. Wang Y, Shi M, Zhang J, Feng G. What public health campaigns can learn from people’s Twitter reactions on mask-wearing and COVID-19 Vaccines: a topic modeling approach. Cogent Social Sciences 2021;7(1) View
  48. Stevens H, Oh Y, Taylor L. Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study. JMIR Infodemiology 2021;1(1):e26876 View
  49. Patel J, Desai H, Okhowat A. The Role of the Canadian Media During the Initial Response to the COVID-19 Pandemic: A Topic Modelling Approach Using Canadian Broadcasting Corporation News Articles. JMIR Infodemiology 2021;1(1):e25242 View
  50. Atif M, Ahmad M, Malik I, Mushtaq I, Ahmad N, Mehjabin , Babar Z. How medicines sales staff is responding to presumptive COVID‐19 patients attending drug retail outlets: An exploratory qualitative study. The International Journal of Health Planning and Management 2021;36(6):2297 View
  51. Zhu J, Chen Y, Lu W, Huang Q, Li B, Xu Y, Xi R, Jin L. Attitudes and Willingness to Accept Long-Acting Injections for Patients With Schizophrenia in Beijing: A Cross-Sectional Investigation Based on Samples From the Communities. Frontiers in Public Health 2021;9 View
  52. Liu L, Zhang J, Li J, Huang F, Wang L. A bibliometric analysis of the landslide susceptibility research (1999–2021). Geocarto International 2022;37(26):14309 View
  53. Huang X, Cen X, Cai M, Zhou R. A Framework to Analyze Function Domains of Autonomous Transportation Systems Based on Text Analysis. Mathematics 2022;11(1):158 View
  54. Kang A, Ren L, Hua C, Dong M, Fang Z, Zhu M. Stakeholders’ views towards plastic restriction policy in China: Based on text mining of media text. Waste Management 2021;136:36 View
  55. Wirz C, Shao A, Bao L, Howell E, Monroe H, Chen K. Media Systems and Attention Cycles: Volume and Topics of News Coverage on COVID-19 in the United States and China. Journalism & Mass Communication Quarterly 2022;99(4):1048 View
  56. Kaur J, Chhabra A, Saini M, Bacanin N. COVID-19 Pandemic. Journal of Information Technology Research 2022;15(1):1 View
  57. Yan Q, Jiang T, Zhou S, Zhang X. Exploring tourist interaction from user-generated content: Topic analysis and content analysis. Journal of Vacation Marketing 2024;30(2):327 View
  58. Mavis Mulaudzi F, Mulaudzi M, Anokwuru R, Davhana‐Maselesele M. Between a rock and a hard place: Ethics, nurses' safety, and the right to protest during the COVID‐19 pandemic. International Nursing Review 2021;68(3):270 View
  59. Al-Moteri M, Plummer V, Youssef H, Yaseen R, Al Malki M, Elryah A, Karani A. The Experiences of People with Diabetes during COVID-19 Pandemic Lockdown. International Journal of Environmental Research and Public Health 2021;19(1):340 View
  60. Kuo H, Chen S, Lai Y. Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan. Sustainability 2021;13(20):11474 View
  61. Ghanem A, Asaad C, Hafidi H, Moukafih Y, Guermah B, Sbihi N, Zakroum M, Ghogho M, Dairi M, Cherqaoui M, Baina K. Real-Time Infoveillance of Moroccan Social Media Users’ Sentiments towards the COVID-19 Pandemic and Its Management. International Journal of Environmental Research and Public Health 2021;18(22):12172 View
  62. de las Heras-Pedrosa C, Jambrino-Maldonado C, Rando-Cueto D, Iglesias-Sánchez P. COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science. International Journal of Environmental Research and Public Health 2022;19(3):1705 View
  63. Grybauskas A, Stefanini A, Ghobakhloo M. Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0. Technology in Society 2022;70:101997 View
  64. De La Hoz-M J, Mendes S, Fernández-Gómez M, González Silva Y. Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools. Computation 2022;10(9):156 View
  65. 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
  66. 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
  67. Rahimi M, Zahedi M, Mashayekhi H. A probabilistic topic model based on short distance Co-occurrences. Expert Systems with Applications 2022;193:116518 View
  68. Benson R, Hu M, Chen A, Zhu S, Conway M. Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing. Frontiers in Public Health 2022;9 View
  69. Mullo López A, De-Casas-Moreno P, Balseca Mera J. Tratamiento informativo y competencias mediáticas sobre la COVID-19 en Ecuador. Revista de Comunicación 2021;20(1):137 View
  70. Zhao X, Wang S, Wang H. Organizational Geosocial Network: A Graph Machine Learning Approach Integrating Geographic and Public Policy Information for Studying the Development of Social Organizations in China. ISPRS International Journal of Geo-Information 2022;11(5):318 View
  71. 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
  72. Shan Y, Ji M, Xie W, Lam K, Chow C. Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis. JMIR Human Factors 2022;9(4):e38799 View
  73. Nisar S, Alshanberi A, Mousa A, El Said M, Hassan F, Rehman A, Ansari S. Trend of social media use by undergraduate medical students; a comparison between medical students and educators. Annals of Medicine and Surgery 2022;81:104420 View
  74. Hwang J, Borah P, Shah D, Brauer M. The Relationship among COVID-19 Information Seeking, News Media Use, and Emotional Distress at the Onset of the Pandemic. International Journal of Environmental Research and Public Health 2021;18(24):13198 View
  75. Ki E, Kang D, Huang M. The state of health public relations: A content analysis of published articles in seven communication journals from 2001 to 2021. Public Relations Review 2022;48(5):102255 View
  76. Zhang D, Xu Y. When Nationalism Encounters the COVID-19 Pandemic: Understanding Chinese Nationalism From Media Use and Media Trust. Global Society 2023;37(2):176 View
  77. Yu B, Li H, Ma C, Tang Y. The Validity of Digital Media Communication of Platforms. Mobile Information Systems 2022;2022:1 View
  78. Roh M, Choi Y, Park H. Analysis of Issues in Fitness Centers through News Articles before and after the COVID-19 Pandemic in South Korea: Applying Big Data Analysis. Sustainability 2023;15(3):2660 View
  79. Li N, Molder A. Can scientists use simple infographics to convince? Effects of the “flatten the curve” charts on perceptions of and behavioral intentions toward social distancing measures during the COVID-19 pandemic. Public Understanding of Science 2021;30(7):898 View
  80. Tang X, Lu J, Chen Z, Liu C, Jiang X, Ning M. Influencing Factors of Patients’ Trust in Nurses During the COVID-19 Pandemic: A Mixed-Methods Study. Disaster Medicine and Public Health Preparedness 2023;17 View
  81. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  82. Kim M, Noh Y, Yamada A, Hong S. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689 View
  83. Dong H, Zhou M, Che D, Zhang H, Bodomo A. Analysis of COVID-19 Name Varieties in Chinese Mass and Social Media. International Journal of Environmental Research and Public Health 2021;18(18):9850 View
  84. Memon R, Ullah I, Shoib S, Qudrat Q, de Filippis R. Role of Social Media in Psychiatry During Pandemic. Journal of Nervous & Mental Disease 2021;209(9):681 View
  85. Yoon H, Kim T, Kim C, Kim N. Major concerns regarding food services based on news media reports during the COVID-19 outbreak using the topic modeling approach. Nutrition Research and Practice 2021;15(Suppl 1):S110 View
  86. Shah A, Muhammad W, Lee K, Naqvi R. Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System. International Journal of Environmental Research and Public Health 2021;18(21):11226 View
  87. Mandl T, Jaki S, Mitera H, Schmidt F. Interdisciplinary Analysis of Science Communication on Social Media during the COVID-19 Crisis. Knowledge 2023;3(1):97 View
  88. Agarwal S, Sarkar S, Prakash N. Topical analysis of migration coverage during lockdown in India by mainstream print media. PLOS ONE 2022;17(2):e0263787 View
  89. Chen A, Zhang J, Liao W, Luo C, Shen C, Feng B. Multiplicity and dynamics of social representations of the COVID-19 pandemic on Chinese social media from 2019 to 2020. Information Processing & Management 2022;59(4):102990 View
  90. Gupta A, Kovoor J, Ovenden C, Cullen H. Paradigm shift: Beyond the COVID‐19 era, is YouTube the future of education for CABG patients?. Journal of Cardiac Surgery 2022;37(8):2292 View
  91. Scarpino I, Zucco C, Vallelunga R, Luzza F, Cannataro M. Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech 2022;11(3):41 View
  92. Zhang J, Wang Y, Shi M, Wang X. Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study. JMIR Public Health and Surveillance 2021;7(12):e32814 View
  93. Lei W, Chen Z, Zhou X, King B. Organic destination imagery and social media: Mapping tourism dynamics across China’s Greater Bay Area cities. Journal of China Tourism Research 2023;19(2):197 View
  94. Chamorro-Padial J, Rodrigo-Ginés F, Rodríguez-Sánchez R. Finding answers to COVID-19-specific questions: An information retrieval system based on latent keywords and adapted TF-IDF. Journal of Information Science 2024;50(4):935 View
  95. Phillips J. Covering tangata whenua in Aotearoa: a big data exploration of print media and Māori. Kōtuitui: New Zealand Journal of Social Sciences Online 2023;18(3):195 View
  96. Litvinenko A, Borissova A, Smoliarova A. Politicization of Science Journalism: How Russian Journalists Covered the Covid-19 Pandemic. Journalism Studies 2022;23(5-6):687 View
  97. Wei X, Hsu Y. Extracting Additional Influences From Physician Profiles With Topic Modeling: Impact on Ratings and Page Views in Online Healthcare Communities. Frontiers in Psychology 2022;13 View
  98. Jafarzadeh H, Pauleen D, Abedin E, Weerasinghe K, Taskin N, Coskun M, Mehmood R. Making sense of COVID-19 over time in New Zealand: Assessing the public conversation using Twitter. PLOS ONE 2021;16(12):e0259882 View
  99. Boukobza A, Burgun A, Roudier B, Tsopra R. Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set. JMIR Medical Informatics 2022;10(5):e34306 View
  100. Cuenca-Zaldívar J, Torrente-Regidor M, Martín-Losada L, Fernández-De-Las-Peñas C, Florencio L, Sousa P, Palacios-Ceña D. Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study. JMIR Medical Informatics 2022;10(5):e38308 View
  101. Chen W, Huang G, Hu A. Red, yellow, green or golden: the post-pandemic future of China's health code apps. Information, Communication & Society 2022;25(5):618 View
  102. Allen R, Kannangara C, Vyas M, Carson J. European university students’ mental health during Covid-19: Exploring attitudes towards Covid-19 and governmental response. Current Psychology 2023;42(23):20165 View
  103. Chou Y, Nawabi H, Li J. Research hotspots and trends for axon regeneration (2000–2021): a bibliometric study and systematic review. Inflammation and Regeneration 2022;42(1) View
  104. Rudianto R, Pahlevi Hidayat F, Hardiyanto S, Priadi R, Thariq M. Community Activities Amid Activity Restrictions during the Coronavirus Disease-19 Pandemic in North Sumatra. Open Access Macedonian Journal of Medical Sciences 2021;9(E):964 View
  105. Ming W, Huang F, Chen Q, Liang B, Jiao A, Liu T, Wu H, Akinwunmi B, Li J, Liu G, Zhang C, Huang J, Liu Q. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries. JMIR Public Health and Surveillance 2021;7(12):e26644 View
  106. Fan C, Huang X, Zhou L, Gai Z, Zhu C, Zhang H. China’s Gridded Manufacturing Dataset. Scientific Data 2022;9(1) View
  107. Cui J, Tong Q. How does the Chinese Government conduct emotional governance over COVID-19? Content analysis of video blogs. Chinese Journal of Communication 2023;16(2):150 View
  108. Afzal A, Saleel C, Bhattacharyya S, Satish N, Samuel O, Badruddin I. Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review. Archives of Computational Methods in Engineering 2022;29(2):1311 View
  109. Paradissis C, De Guzman K, Barras M, La Caze A, Winckel K, Taufatofua N, Falconer N. Experiences and learnings of pharmacists, students, and clinical assistants working collaboratively in a COVID-19 vaccination clinic: a qualitative study. Exploratory Research in Clinical and Social Pharmacy 2023;9:100241 View
  110. Yu Y, Wu Y, Huang Z, Sun X. Associations between media use, self-efficacy, and health literacy among Chinese rural and urban elderly: A moderated mediation model. Frontiers in Public Health 2023;11 View
  111. Evans S, Jones R, Alkan E, Sichman J, Haque A, de Oliveira F, Mougouei D, Yan Z. The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing. Human Behavior and Emerging Technologies 2023;2023:1 View
  112. Pranić S, Vasanthan L, Thompson J, Mishra V, Kumar P, Ananda R, Malih N, Chan K, Anjorin A. Protocol of a scoping review of systematic reviews and meta-analyses about COVID-19 vaccines and associated adverse events from vaccination. PLOS ONE 2023;18(5):e0285442 View
  113. Goniewicz M, Khorram-Manesh A, Timler D, Al-Wathinani A, Goniewicz K. Hospital Disaster Preparedness: A Comprehensive Evaluation Using the Hospital Safety Index. Sustainability 2023;15(17):13197 View
  114. Haag C, Steinemann N, Chiavi D, Kamm C, Sieber C, Manjaly Z, Horváth G, Ajdacic-Gross V, Puhan M, von Wyl V, Tariq A. Blending citizen science with natural language processing and machine learning: Understanding the experience of living with multiple sclerosis. PLOS Digital Health 2023;2(8):e0000305 View
  115. Schwarz A, Alpers F, Wagner-Olfermann E, Diers-Lawson A. The Global Study of COVID News: Scope, Findings, and Implications of Quantitative Content Analyses of the COVID-19 News Coverage in the First Two Years of the Pandemic. Health Communication 2024;39(8):1568 View
  116. Li C, Li S, Yang J, Wang J, Lv Y. Topic evolution and sentiment comparison of user reviews on an online medical platform in response to COVID-19: taking review data of Haodf.com as an example. Frontiers in Public Health 2023;11 View
  117. Kim H, Park M. Discovering fashion industry trends in the online news by applying text mining and time series regression analysis. Heliyon 2023;9(7):e18048 View
  118. Yuan J, Lam W, Xiao J, Cowling B, Ni M, Dong M, Liao Q. Unravelling disparity in age-specific acceptance of COVID-19 vaccination: the contextual and psychosocial influences. Psychology & Health 2023:1 View
  119. MALAK AKGÜN B, ÖZKAN B. Human is a Social Being: Socializing in Pandemic Times. Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi 2023;6(2):404 View
  120. Kim Y, Myeong S, Ahn M. Living Labs for AI-Enabled Public Services: Functional Determinants, User Satisfaction, and Continued Use. Sustainability 2023;15(11):8672 View
  121. Dasgupta P, Amin J, Paris C, MacIntyre C. News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study. JMIR Infodemiology 2023;3:e43011 View
  122. Liu S, Yu H. What is newsworthy about Covid-19? A corpus linguistic analysis of news values in reports by China Daily and The New York Times. Humanities and Social Sciences Communications 2023;10(1) View
  123. Danesh F, Dastani M. Text classification technique for discovering country-based publications from international COVID-19 publications. DIGITAL HEALTH 2023;9 View
  124. Li B. Conceptual deviation in terminology translation. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 2023;29(2):351 View
  125. Méndiz-Noguero A, Wennberg-Capellades L, Regadera-González E, Goni-Fuste B. Public health communication and the Covid-19: A review of the literature during the first wave. El Profesional de la información 2023 View
  126. Dong Y, Liang C, Chen Y, Hua J. A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets. Computational Visual Media 2024;10(1):161 View
  127. Oh Y, Kim J. Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. International Neurourology Journal 2023;27(Suppl 2):S91 View
  128. Sandu A, Cotfas L, Delcea C, Crăciun L, Molănescu A. Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective. Information 2023;14(12):659 View
  129. C. P, P. M. D. An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling. Journal of Advances in Information Technology 2023;14(6):1390 View
  130. Nyandeni S, Mulaudzi F, Anokwuru R. Lived experiences of nurses working in the clinical setting during Covid-19, in Ekurhuleni, Gauteng Province, South Africa. International Journal of Africa Nursing Sciences 2024;20:100653 View
  131. Xiao L, Ju C, Shiau W. How patients evaluate physicians in live Video: An empirical study from a dual process perspective. Journal of Business Research 2024;173:114471 View
  132. Barnabas B, Bavorova M, Madaki M, Kächele H. Food safety knowledge, attitudes, and practices of food vendors participating in Nigeria’s school feeding program. Journal of Consumer Protection and Food Safety 2024;19(2):199 View
  133. Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756 View
  134. Wu F, Yang T, Zhang C, Yu Y, Xu D. Internet-Based Media as Information Sources in Risk Communication: Comparing Three Media Sources During COVID-19 Pandemic. Journalism Practice 2024:1 View
  135. Claes M, Farooq U, Salman I, Teern A, Isomursu M, Halonen R. Sentiment Analysis of Finnish Twitter Discussions on COVID-19 During the Pandemic. SN Computer Science 2024;5(2) View
  136. van de Baan F, Gifford R, Ruwaard D, Fleuren B, Westra D. Newspaper Coverage of Hospitals During a Prolonged Health Crisis: Longitudinal Mixed Methods Study. JMIR Public Health and Surveillance 2024;10:e48134 View
  137. Kusuma I, Suherman S. The Pulse of Long COVID on Twitter: A Social Network Analysis. Archives of Iranian Medicine 2024;27(1):36 View
  138. Bolaji D, Wu Y, Akintunde T. Decomposing Cultural Adaptation and Social Support in Relation to New Media Use and Psychological Well-Being Among Immigrants: a Chain Mediation Model. Applied Research in Quality of Life 2024;19(4):1525 View
  139. Batool A, Byun Y. Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation. IEEE Access 2024;12:81206 View
  140. Trizotto R, Nascimento L, da Silva J, Zawislak P. Sustainability, business strategy and innovation: a thematic literature review. Sustainability Accounting, Management and Policy Journal 2024;15(6):1338 View
  141. Tian X. How Government Actions Influence People’s Intentions to Share on Social Media During Shanghai’s Lockdown for COVID-19: A Third-Person Effect Perspective. Sage Open 2024;14(3) View
  142. Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
  143. AbuRaed A, Prikryl E, Carenini G, Janjua N. Long COVID Discourse in Canada, the US, and Europe: Analysis Using Topic Modeling and Sentiment Analysis on Twitter Data (Preprint). Journal of Medical Internet Research 2024 View
  144. Rodrigues L, Prado A, Lobato F. Pandemia de COVID-19 no Brasil. Culturas Midiáticas 2022;16:26 View
  145. Liu Y, Shan Y, Sun S, Ji M, Zhou S, You Y, Liu H, Shen Y. Topic modeling and content analysis of people’s anxiety-related concerns raised on a computer-mediated health platform. Scientific Reports 2024;14(1) View
  146. Chung S, Kim J, Baik J, Chi S, Kim D. Identifying issues in international construction projects from news text using pre-trained models and clustering. Automation in Construction 2024;168:105875 View

Books/Policy Documents

  1. Mehrotra R, Garg O, Gupta S, Singh A. Advances in Data and Information Sciences. View
  2. Verma S, Garg S, Chamoli T, Gupta A. Data Engineering for Smart Systems. View
  3. Ugbo G, Chinedu-Okeke C, Ogbodo J. Health Crises and Media Discourses in Sub-Saharan Africa. View
  4. Thakur O, Saritha S, Jain S. Machine Learning, Image Processing, Network Security and Data Sciences. View
  5. . Crisis Communication in China. View
  6. Wang Z, Andriano-Moore S. Coping with COVID-19, the Mobile Way. View
  7. Cheng C, Espanha R. Advances in Design and Digital Communication II. View
  8. Juanals B, Minel J. Advances in Computational Collective Intelligence. View
  9. Shahriar K, Anwar M, Sarker I. Machine Intelligence and Emerging Technologies. View