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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19016, first published .
Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

Journals

  1. Rovetta A, Bhagavathula A. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags. Journal of Medical Internet Research 2020;22(8):e20673 View
  2. Domínguez-Salas S, Gómez-Salgado J, Andrés-Villas M, Díaz-Milanés D, Romero-Martín M, Ruiz-Frutos C. Psycho-Emotional Approach to the Psychological Distress Related to the COVID-19 Pandemic in Spain: A Cross-Sectional Observational Study. Healthcare 2020;8(3):190 View
  3. 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
  4. Alvarez-Risco A, Mejia C, Delgado-Zegarra J, Del-Aguila-Arcentales S, Arce-Esquivel A, Valladares-Garrido M, Rosas del Portal M, Villegas L, Curioso W, Sekar M, Yáñez J. The Peru Approach against the COVID-19 Infodemic: Insights and Strategies. The American Journal of Tropical Medicine and Hygiene 2020;103(2):583 View
  5. OLIVEIRA L, ZANATTA F. Self-reported dental treatment needs during the COVID-19 outbreak in Brazil: an infodemiological study. Brazilian Oral Research 2020;34 View
  6. Qazi U, Imran M, Ofli F. GeoCoV19. SIGSPATIAL Special 2020;12(1):6 View
  7. Doogan C, Buntine W, Linger H, Brunt S. Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(9):e21419 View
  8. Hecht N, Wessels L, Werft F, Schneider U, Czabanka M, Vajkoczy P. Need for ensuring care for neuro-emergencies—lessons learned from the COVID-19 pandemic. Acta Neurochirurgica 2020;162(8):1795 View
  9. De Santis E, Martino A, Rizzi A. An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. IEEE Access 2020;8:132527 View
  10. Warin T. Global Research on Coronaviruses: An R Package. Journal of Medical Internet Research 2020;22(8):e19615 View
  11. Laato S, Islam A, Farooq A, Dhir A. Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services 2020;57:102224 View
  12. de Melo T, Figueiredo C. A first public dataset from Brazilian twitter and news on COVID-19 in Portuguese. Data in Brief 2020;32:106179 View
  13. Abrams E, Greenhawt M. Mitigating Misinformation and Changing the Social Narrative. The Journal of Allergy and Clinical Immunology: In Practice 2020;8(10):3261 View
  14. Ming L, Untong N, Aliudin N, Osili N, Kifli N, Tan C, Goh K, Ng P, Al-Worafi Y, Lee K, Goh H. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR mHealth and uHealth 2020;8(9):e19796 View
  15. Larrouquere L, Gabin M, Poingt E, Mouffak A, Hlavaty A, Lepelley M, Khouri C, Bellier A, Alexandre J, Bedouch P, Bertoletti L, Bordet R, Bouhanick B, Jonville‐Bera A, Laporte S, Le Jeunne C, Letinier L, Micallef J, Naudet F, Roustit M, Molimard M, Richard V, Cracowski J. Genesis of an emergency public drug information website by the French Society of Pharmacology and Therapeutics during the COVID‐19 pandemic. Fundamental & Clinical Pharmacology 2020;34(3):389 View
  16. Rovetta A, Bhagavathula A. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study. JMIR Public Health and Surveillance 2020;6(2):e19374 View
  17. 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
  18. Kaya T. The changes in the effects of social media use of Cypriots due to COVID-19 pandemic. Technology in Society 2020;63:101380 View
  19. Cignarelli A, Sansone A, Caruso I, Perrini S, Natalicchio A, Laviola L, Jannini E, Giorgino F. Diabetes in the Time of COVID-19: A Twitter-Based Sentiment Analysis. Journal of Diabetes Science and Technology 2020;14(6):1131 View
  20. Chen E, Lerman K, Ferrara E. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance 2020;6(2):e19273 View
  21. 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
  22. Kamiński M, Muth A, Bogdański P. Smoking, Vaping, and Tobacco Industry During COVID-19 Pandemic: Twitter Data Analysis. Cyberpsychology, Behavior, and Social Networking 2020;23(12):811 View
  23. Qazi U, Imran M, Ofli F. GeoCoV19. SIGSPATIAL Special 2020;12(1):6 View
  24. Fagherazzi G, Goetzinger C, Rashid M, Aguayo G, Huiart L. Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers. Journal of Medical Internet Research 2020;22(6):e19284 View
  25. Chen L, Chang K, Chung H. A Novel Statistic-Based Corpus Machine Processing Approach to Refine a Big Textual Data: An ESP Case of COVID-19 News Reports. Applied Sciences 2020;10(16):5505 View
  26. Budhwani H, Sun R. Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data. Journal of Medical Internet Research 2020;22(5):e19301 View
  27. 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
  28. Zhu B, Zheng X, Liu H, Li J, Wang P. Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics. Chaos, Solitons & Fractals 2020;140:110123 View
  29. González-Padilla D, Tortolero-Blanco L. Social media influence in the COVID-19 Pandemic. International braz j urol 2020;46(suppl 1):120 View
  30. Ruiz-Frutos C, Ortega-Moreno M, Dias A, Bernardes J, García-Iglesias J, Gómez-Salgado J. Information on COVID-19 and Psychological Distress in a Sample of Non-Health Workers during the Pandemic Period. International Journal of Environmental Research and Public Health 2020;17(19):6982 View
  31. Tsai J, Phua J, Pan S, Yang C. Intergroup Contact, COVID-19 News Consumption, and the Moderating Role of Digital Media Trust on Prejudice Toward Asians in the United States: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e22767 View
  32. Al-Rawi A, Shukla V. Bots as Active News Promoters: A Digital Analysis of COVID-19 Tweets. Information 2020;11(10):461 View
  33. Kimhi S, Marciano H, Eshel Y, Adini B. Recovery from the COVID-19 pandemic: Distress and resilience. International Journal of Disaster Risk Reduction 2020;50:101843 View
  34. Vlasschaert C, Topf J, Hiremath S. Proliferation of Papers and Preprints During the Coronavirus Disease 2019 Pandemic: Progress or Problems With Peer Review?. Advances in Chronic Kidney Disease 2020;27(5):418 View
  35. Kamiński M, Szymańska C, Nowak J. Whose Tweets on COVID-19 Gain the Most Attention: Celebrities, Political, or Scientific Authorities?. Cyberpsychology, Behavior, and Social Networking 2021;24(2):123 View
  36. Duong T, Pham K, Do B, Kim G, Dam H, Le V, Nguyen T, Nguyen H, Nguyen T, Le T, Do H, Yang S. Digital Healthy Diet Literacy and Self-Perceived Eating Behavior Change during COVID-19 Pandemic among Undergraduate Nursing and Medical Students: A Rapid Online Survey. International Journal of Environmental Research and Public Health 2020;17(19):7185 View
  37. 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
  38. Massey D, Huang C, Lu Y, Cohen A, Oren Y, Moed T, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Ding Q, Dreyer R, Roy B, Krumholz H. Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020. Journal of Medical Internet Research 2021;23(6):e26655 View
  39. 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
  40. Zhou X, Song Y, Jiang H, Wang Q, Qu Z, Zhou X, Jit M, Hou Z, Lin L. Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study. Journal of Medical Internet Research 2021;23(4):e26518 View
  41. Shen T, Chen A, Bovonratwet P, Shen C, Su E. COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis. Journal of Medical Internet Research 2020;22(11):e22407 View
  42. Salvi C, Iannello P, Cancer A, McClay M, Rago S, Dunsmoor J, Antonietti A. Going Viral: How Fear, Socio-Cognitive Polarization and Problem-Solving Influence Fake News Detection and Proliferation During COVID-19 Pandemic. Frontiers in Communication 2021;5 View
  43. Nsoesie E, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. Journal of Medical Internet Research 2020;22(12):e24425 View
  44. 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
  45. Farsi D. Social Media and Health Care, Part I: Literature Review of Social Media Use by Health Care Providers. Journal of Medical Internet Research 2021;23(4):e23205 View
  46. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  47. Carnot M, Bernardino J, Laranjeiro N, Gonçalo Oliveira H. Applying Text Analytics for Studying Research Trends in Dependability. Entropy 2020;22(11):1303 View
  48. Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85 View
  49. 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
  50. Chintalapudi N, Battineni G, Amenta F. Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models. Infectious Disease Reports 2021;13(2):329 View
  51. Petersen K, Gerken J. #Covid-19: An exploratory investigation of hashtag usage on Twitter. Health Policy 2021;125(4):541 View
  52. Gencoglu O. Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603 View
  53. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77 View
  54. 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
  55. Rustam F, Khalid M, Aslam W, Rupapara V, Mehmood A, Choi G, Mumtaz W. A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis. PLOS ONE 2021;16(2):e0245909 View
  56. Yang M, Han C. Revealing industry challenge and business response to Covid-19: a text mining approach. International Journal of Contemporary Hospitality Management 2021;33(4):1230 View
  57. 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
  58. Cauberghe V, Van Wesenbeeck I, De Jans S, Hudders L, Ponnet K. How Adolescents Use Social Media to Cope with Feelings of Loneliness and Anxiety During COVID-19 Lockdown. Cyberpsychology, Behavior, and Social Networking 2021;24(4):250 View
  59. 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
  60. Sharma S, Sharma S. Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites. Journal of Statistics and Management Systems 2021;24(1):115 View
  61. 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
  62. Xue J, Chen J, Hu R, Chen C, Zheng C, Su Y, Zhu T. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach. Journal of Medical Internet Research 2020;22(11):e20550 View
  63. . Genèse d’un site d’information sur le bon usage du médicament au cours de la pandémie. Actualités Pharmaceutiques 2020;59(599):34 View
  64. 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
  65. Garcia K, Berton L. Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA. Applied Soft Computing 2021;101:107057 View
  66. 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
  67. Zhao Y, Xi H, Zhang C. Exploring Occupation Differences in Reactions to COVID-19 Pandemic on Twitter. Data and Information Management 2021;5(1):110 View
  68. Xue J, Chen J, Chen C, Hu R, Zhu T. The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets. Journal of Medical Internet Research 2020;22(11):e24361 View
  69. Petrocchi S, Iannello P, Ongaro G, Antonietti A, Pravettoni G. The interplay between risk and protective factors during the initial height of the COVID-19 crisis in Italy: The role of risk aversion and intolerance of ambiguity on distress. Current Psychology 2022;41(1):437 View
  70. Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Muazen Y, Al-Moumen S, Yermal A. Dental care during the COVID-19 Pandemic: An Arabic tweets analysis (Preprint). JMIR Public Health and Surveillance 2020 View
  71. Piccinelli S, Moro S, Rita P. Air-travelers' concerns emerging from online comments during the COVID-19 outbreak. Tourism Management 2021;85:104313 View
  72. Cordoș A, Bolboacă S. Lockdown, Social Media exposure regarding COVID‐19 and the relation with self‐assessment depression and anxiety. Is the medical staff different?. International Journal of Clinical Practice 2021;75(4) View
  73. 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
  74. Alnajashi H, Jabbad R, Lavorgna L. Behavioral practices of patients with multiple sclerosis during Covid-19 pandemic. PLOS ONE 2020;15(10):e0241103 View
  75. 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
  76. Gupta V, Jain N, Katariya P, Kumar A, Mohan S, Ahmadian A, Ferrara M. An Emotion Care Model using Multimodal Textual Analysis on COVID-19. Chaos, Solitons & Fractals 2021;144:110708 View
  77. Chen N, Zhong Z, Pang J. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing 2021;5(1):5 View
  78. Chakraborty K, Bhatia S, Bhattacharyya S, Platos J, Bag R, Hassanien A. Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media. Applied Soft Computing 2020;97:106754 View
  79. Zhang C, Xu S, Li Z, Hu S. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study. Journal of Medical Internet Research 2021;23(3):e26482 View
  80. Lindemann I, Simonetti A, Amaral C, Riffel R, Simon T, Stobbe J, Acrani G. Percepção do medo de ser contaminado pelo novo coronavírus. Jornal Brasileiro de Psiquiatria 2021;70(1):3 View
  81. Halabowski D, Rzymski P. Taking a lesson from the COVID-19 pandemic: Preventing the future outbreaks of viral zoonoses through a multi-faceted approach. Science of The Total Environment 2021;757:143723 View
  82. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  83. Yu S, Eisenman D, Han Z. Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan. Journal of Medical Internet Research 2021;23(3):e27078 View
  84. Ashfield S, Donelle L. Parental Online Information Access and Childhood Vaccination Decisions in North America: Scoping Review. Journal of Medical Internet Research 2020;22(10):e20002 View
  85. Chatibura D. Travellers’ top comments during the COVID-19 pandemic in Botswana. Research in Hospitality Management 2020;10(2):123 View
  86. 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
  87. Abrams E, Singer A, Greenhawt M, Stukus D, Shaker M. Ten tips for improving your clinical practice during the COVID-19 pandemic. Current Opinion in Pediatrics 2021;33(2):260 View
  88. Hussain A, Tahir A, Hussain Z, Sheikh Z, Gogate M, Dashtipour K, Ali A, Sheikh A. Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study. Journal of Medical Internet Research 2021;23(4):e26627 View
  89. Niknam F, Samadbeik M, Fatehi F, Shirdel M, Rezazadeh M, Bastani P. COVID-19 on Instagram: A content analysis of selected accounts. Health Policy and Technology 2021;10(1):165 View
  90. Pandey D, Bansal S, Goyal S, Garg A, Sethi N, Pothiyill D, Sreelakshmi E, Sayyad M, Sethi R, Santana G. Psychological impact of mass quarantine on population during pandemics—The COVID-19 Lock-Down (COLD) study. PLOS ONE 2020;15(10):e0240501 View
  91. Gamsızkan Z, Sungur M, Erdemir G. How do older age, gender and risk groups affect protective behaviours and mental health in the COVID‐19 pandemic?. International Journal of Clinical Practice 2021;75(6) View
  92. Alshalan R, Al-Khalifa H, Alsaeed D, Al-Baity H, Alshalan S. Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach. Journal of Medical Internet Research 2020;22(12):e22609 View
  93. Park S, Han S, Kim J, Molaie M, Vu H, Singh K, Han J, Lee W, Cha M. COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication. Journal of Medical Internet Research 2021;23(3):e23272 View
  94. Al-Laith A, Alenezi M. Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic. Information 2021;12(2):86 View
  95. Adikari A, Nawaratne R, De Silva D, Ranasinghe S, Alahakoon O, Alahakoon D. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research 2021;23(4):e27341 View
  96. Kubb C, Foran H. Measuring COVID-19 Related Anxiety in Parents: Psychometric Comparison of Four Different Inventories. JMIR Mental Health 2020;7(12):e24507 View
  97. Wang J, Zhou Y, Zhang W, Evans R, Zhu C. Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data. Journal of Medical Internet Research 2020;22(11):e22152 View
  98. Dalili Shoaei M, Dastani M. The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review. Acta Informatica Pragensia 2020;9(2):154 View
  99. Lopreite M, Panzarasa P, Puliga M, Riccaboni M. Early warnings of COVID-19 outbreaks across Europe from social media. Scientific Reports 2021;11(1) View
  100. Viñán-Ludeña M, de Campos L. Analyzing tourist data on Twitter: a case study in the province of Granada at Spain. Journal of Hospitality and Tourism Insights 2022;5(2):435 View
  101. 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
  102. Wicke P, Bolognesi M. Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time. Frontiers in Communication 2021;6 View
  103. Karami A, Anderson M. Social media and COVID‐19: Characterizing anti‐quarantine comments on Twitter. Proceedings of the Association for Information Science and Technology 2020;57(1) View
  104. 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
  105. Long V, Koh W, Saw Y, Liu J. Vulnerability to rumours during the COVID-19 pandemic in Singapore. Annals of the Academy of Medicine, Singapore 2021;50(3):232 View
  106. Thomas M, Lal V, Baby A, Rabeeh VP M, James A, Raj A. Can technological advancements help to alleviate COVID-19 pandemic? a review. Journal of Biomedical Informatics 2021;117:103787 View
  107. 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
  108. Tao C, Diaz D, Xie Z, Chen L, Li D, O’Connor R. Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users’ Attitudes Toward Smoking: Observational Study. JMIR Formative Research 2021;5(6):e25010 View
  109. Fiok K, Karwowski W, Gutierrez E, Saeidi M, Aljuaid A, Davahli M, Taiar R, Marek T, Sawyer B. A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States: A Natural Language Processing Approach. International Journal of Environmental Research and Public Health 2021;18(9):4543 View
  110. González L, Devís-Devís J, Pellicer-Chenoll M, Pans M, Pardo-Ibañez A, García-Massó X, Peset F, Garzón-Farinós F, Pérez-Samaniego V. The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis. International Journal of Environmental Research and Public Health 2021;18(9):4554 View
  111. Han C, Yang M, Piterou A. Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts. Technological Forecasting and Social Change 2021;169:120849 View
  112. 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
  113. Andreadis S, Antzoulatos G, Mavropoulos T, Giannakeris P, Tzionis G, Pantelidis N, Ioannidis K, Karakostas A, Gialampoukidis I, Vrochidis S, Kompatsiaris I. A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets. Online Social Networks and Media 2021;23:100134 View
  114. 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
  115. Santos Alencar N, Fernandes Lima F, Teles de Oliveira Gouveia M, Freitas da Silva G. Notícias falsas em tempos de pandemia pelo novo coronavírus: uma análise documental. Revista Cuidarte 2021 View
  116. Maraev V, Breitholtz E, Howes C, Larsson S, Cooper R. Something Old, Something New, Something Borrowed, Something Taboo: Interaction and Creativity in Humour. Frontiers in Psychology 2021;12 View
  117. Kabir M, Madria S. EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets. Online Social Networks and Media 2021;23:100135 View
  118. Gozansky E, Moscona G, Okon-Singer H. Identifying Variables That Predict Depression Following the General Lockdown During the COVID-19 Pandemic. Frontiers in Psychology 2021;12 View
  119. Hou Z, Tong Y, Du F, Lu L, Zhao S, Yu K, Piatek S, Larson H, Lin L. Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening Study. Journal of Medical Internet Research 2021;23(6):e27632 View
  120. Al-Khalifa K, AlSheikh R, Alsahafi Y, Alkhalifa A, Sadaf S, Al-Moumen S, Muazen Y, Shetty A. Dental Care in the Arab Countries During the COVID-19 Pandemic: An Infodemiological Study. Risk Management and Healthcare Policy 2021;Volume 14:2153 View
  121. Daughton A, Shelley C, Barnard M, Gerts D, Watson Ross C, Crooker I, Nadiga G, Mukundan N, Vaquera Chavez N, Parikh N, Pitts T, Fairchild G. Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study. Journal of Medical Internet Research 2021;23(5):e27059 View
  122. Abdekhoda M, Ranjbaran F, Sattari A. Information and information resources in COVID-19: Awareness, control, and prevention. Journal of Librarianship and Information Science 2022;54(3):363 View
  123. Herrera-Peco I, Jiménez-Gómez B, Peña Deudero J, Benitez De Gracia E, Ruiz-Núñez C. Healthcare Professionals’ Role in Social Media Public Health Campaigns: Analysis of Spanish Pro Vaccination Campaign on Twitter. Healthcare 2021;9(6):662 View
  124. Agarwal A, Uniyal D, Toshniwal D, Deb D. Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak. IEEE Transactions on Emerging Topics in Computational Intelligence 2021;5(3):308 View
  125. Rotter D, Doebler P, Schmitz F. Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers. Journal of Medical Internet Research 2021;23(6):e26385 View
  126. Schweinberger M, Haugh M, Hames S. Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis. Big Data & Society 2021;8(1) View
  127. Kydros D, Argyropoulou M, Vrana V. A Content and Sentiment Analysis of Greek Tweets during the Pandemic. Sustainability 2021;13(11):6150 View
  128. Ilyas H, Anwar A, Yaqub U, Alzamil Z, Appelbaum D. Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India. Global Knowledge, Memory and Communication 2022;71(3):140 View
  129. Asare A, Yap R, Truong N, Sarpong E. The pandemic semesters: Examining public opinion regarding online learning amidst COVID‐19. Journal of Computer Assisted Learning 2021;37(6):1591 View
  130. Priyadarshini I, Mohanty P, Kumar R, Sharma R, Puri V, Singh P. A study on the sentiments and psychology of twitter users during COVID-19 lockdown period. Multimedia Tools and Applications 2022;81(19):27009 View
  131. 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
  132. Cohrdes C, Yenikent S, Wu J, Ghanem B, Franco-Salvador M, Vogelgesang F. Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data. JMIR Mental Health 2021;8(6):e27140 View
  133. Kharlamov A, Raskhodchikov A, Pilgun M. Smart City Data Sensing during COVID-19: Public Reaction to Accelerating Digital Transformation. Sensors 2021;21(12):3965 View
  134. Han J, Park J, Lee H. Effect of exposure to COVID‐19 infodemic on infection‐preventive intentions among Korean adults. Nursing Open 2022;9(6):2665 View
  135. Abd-Alrazaq A, Hassan A, Abuelezz I, Ahmed A, Alzubaidi M, Shah U, Alhuwail D, Giannicchi A, Househ M. Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review. Journal of Medical Internet Research 2021;23(9):e29136 View
  136. Tran H, Lu S, Tran H, Nguyen B. Social Media Insights During the COVID-19 Pandemic: Infodemiology Study Using Big Data. JMIR Medical Informatics 2021;9(7):e27116 View
  137. El-Rashidy N, Abdelrazik S, Abuhmed T, Amer E, Ali F, Hu J, El-Sappagh S. Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic. Diagnostics 2021;11(7):1155 View
  138. Choudrie J, Patil S, Kotecha K, Matta N, Pappas I. Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Information Systems Frontiers 2021 View
  139. ÜNVER O, DİNÇ H, ÇETİN E, ARGAN M. Kaygılarım Kabusum Olmasın! Futbolcuların Covid-19 Pandemisi Sürecindeki Kaygılarının Fotoses Yöntemiyle İncelenmesi. International Journal of Sport, Exercise & Training Sciences 2021 View
  140. Hanschmidt F, Kersting A. Emotions in Covid-19 Twitter discourse following the introduction of social contact restrictions in Central Europe. Journal of Public Health 2023;31(6):933 View
  141. Lama Y, Nan X, Quinn S. General and health-related social media use among adults with children in the household: Findings from a national survey in the United States. Patient Education and Counseling 2022;105(3):647 View
  142. Naveed M, Malik A, Mahmood K. Impact of conspiracy beliefs on Covid-19 fear and health protective behavior: a case of university students. Library Hi Tech 2021;39(3):761 View
  143. 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
  144. Jong W, Liang O, Yang C. The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis. JMIRx Med 2021;2(3):e27485 View
  145. 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
  146. 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
  147. Gupta P, Kumar S, Suman R, Kumar V. Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter. IEEE Transactions on Computational Social Systems 2021;8(4):992 View
  148. 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
  149. Boucher J, Cornelson K, Benham J, Fullerton M, Tang T, Constantinescu C, Mourali M, Oxoby R, Marshall D, Hemmati H, Badami A, Hu J, Lang R. Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study. JMIR Infodemiology 2021;1(1):e28800 View
  150. Melo M, Tupinambás U, Ferri P, Godoy S, Torres R, Palmeira V, Rocha G, Reis Z. Covid-19: e-Learning as a tool for improving the knowledge. Revista Brasileira de Educação Médica 2021;45(3) View
  151. Motahari-Nezhad H, Shekofteh M, Andalib-Kondori M. Social media as a platform for information and support for coronavirus: analysis ofCOVID-19 Facebook groups. Global Knowledge, Memory and Communication 2022;71(8/9):772 View
  152. Teague S, Shatte A, Weller E, Fuller-Tyszkiewicz M, Hutchinson D. Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review. JMIR Mental Health 2022;9(2):e33058 View
  153. Esmaeilzadeh P. Public concerns and burdens associated with face mask-wearing: Lessons learned from the COVID-19 pandemic. Progress in Disaster Science 2022;13:100215 View
  154. Durmaz N, Hengirmen E. The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter. Human Vaccines & Immunotherapeutics 2022;18(1) View
  155. Cotfas L, Delcea C, Gherai R, Roxin I. Unmasking People’s Opinions behind Mask-Wearing during COVID-19 Pandemic—A Twitter Stance Analysis. Symmetry 2021;13(11):1995 View
  156. Westmaas J, Masters M, Bandi P, Majmundar A, Asare S, Diver W. COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020. JMIR Infodemiology 2022;2(1):e36215 View
  157. Mathayomchan B, Taecharungroj V, Wattanacharoensil W. Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses. Place Branding and Public Diplomacy 2023;19(3):317 View
  158. Obiała K, Obiała J, Mańczak M, Owoc J, Olszewski R. Type and reliability of information about coronavirus most frequently shared by social media users. Health Policy and Technology 2022;11(3):100626 View
  159. Shi C, So M, Stelmach S, Earn A, Earn D, Dushoff J. From science to politics: COVID-19 information fatigue on YouTube. BMC Public Health 2022;22(1) View
  160. 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
  161. Rahman M, Khan N, Sarker I, Ahmed M, Islam M. Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective. Engineering Reports 2023;5(3) View
  162. Lee E, Zheng H, Goh D, Lee C, Theng Y. Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework. Health Communication 2024;39(3):493 View
  163. Reuter K, Angyan P, Le N, Buchanan T. Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study. JMIR Formative Research 2021;5(11):e29958 View
  164. Faruk M, Devnath P, Kar S, Eshaa E, Naziat H. Perception and determinants of Social Networking Sites (SNS) on spreading awareness and panic during the COVID-19 pandemic in Bangladesh. Health Policy OPEN 2022;3:100075 View
  165. Choi M, Cristol D. Digital citizenship with intersectionality lens: Towards participatory democracy driven digital citizenship education. Theory Into Practice 2021;60(4):361 View
  166. QUEIROZ H, TOLDO N, OLIVEIRA B, SANTANA M, DOBASHI E. THE IMPACT OF COVID-19 ON THE ORTHOPEDIC CARE SYSTEM IN A PRIVATE HOSPITAL. Acta Ortopédica Brasileira 2021;29(6):289 View
  167. Jiang Q, Xue Y, Hu Y, Li Y. Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo. Frontiers in Psychology 2022;13 View
  168. Zheng H, Goh D, Lee E, Lee C, Theng Y. Understanding the effects of message cues on COVID‐19 information sharing on Twitter. Journal of the Association for Information Science and Technology 2022;73(6):847 View
  169. Michailidis P. Visualizing Social Media Research in the Age of COVID-19. Information 2022;13(8):372 View
  170. Aritenang A. Evaluating city-scale urban mobility restriction in Jakarta due to the COVID-19 pandemic: the impact on subjective wellbeing. Urban, Planning and Transport Research 2021;9(1):519 View
  171. Martínez R, Blanco G, Lourenço A. Spanish Corpora of tweets about COVID-19 vaccination for automatic stance detection. Information Processing & Management 2023;60(3):103294 View
  172. Alghazzawi D, Qazi A, Qazi J, Naseer K, Zeeshan M, Abo M, Hasan N, Qazi S, Naz K, Dey S, Yang S. Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence. Sustainability 2021;13(20):11339 View
  173. TUNA N, SEBATLI SAĞLAM A, ÇAVDUR F. Covid-19 Salgını ile İlgili Paylaşımlar Üzerinde Veri Analizi. Bilişim Teknolojileri Dergisi 2022;15(1):13 View
  174. 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
  175. Wang H, Sun K, Wang Y. Exploring the Chinese Public’s Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis. International Journal of Environmental Research and Public Health 2022;19(14):8377 View
  176. Altan H, Coşgun A. Analysis of tweets on toothache during the COVID-19 pandemic using the CrystalFeel algorithm: a cross-sectional study. BMC Oral Health 2021;21(1) View
  177. Cotfas L, Delcea C, Gherai R. COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process. International Journal of Environmental Research and Public Health 2021;18(19):10438 View
  178. Tsai C, Shyr W. Key Factors for Evaluating Visual Perception Responses to Social Media Video Communication. Sustainability 2022;14(20):13019 View
  179. Lohiniva A, Pensola A, Hyökki S, Sivelä J, Tammi T. COVID-19 risk perception framework of the public: an infodemic tool for future pandemics and epidemics. BMC Public Health 2022;22(1) View
  180. Ainapure B, Pise R, Reddy P, Appasani B, Srinivasulu A, Khan M, Bizon N. Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches. Sustainability 2023;15(3):2573 View
  181. Nowak B, Miedziarek C, Pełczyński S, Rzymski P. Misinformation, Fears and Adherence to Preventive Measures during the Early Phase of COVID-19 Pandemic: A Cross-Sectional Study in Poland. International Journal of Environmental Research and Public Health 2021;18(22):12266 View
  182. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  183. Brozek W, Falkenberg C. Industrial Animal Farming and Zoonotic Risk: COVID-19 as a Gateway to Sustainable Change? A Scoping Study. Sustainability 2021;13(16):9251 View
  184. Swapnarekha H, Nayak J, Behera H, Dash P, Pelusi D. An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets. Mathematical Biosciences and Engineering 2022;20(2):2382 View
  185. Comito C. How COVID-19 Information Spread in U.S.? The Role of Twitter as Early Indicator of Epidemics. IEEE Transactions on Services Computing 2022;15(3):1193 View
  186. Sert E, Okan O, Ozbilen A, Ertekin S, Ozdemir S. Linking COVID-19 Perception With Socioeconomic Conditions Using Twitter Data. IEEE Transactions on Computational Social Systems 2022;9(2):394 View
  187. Chang V, Ng C, Xu Q, Guizani M, Hossain M. How Do People View COVID-19 Vaccines. Journal of Global Information Management 2022;30(10):1 View
  188. Verma N, Fleischmann K, Zhou L, Xie B, Lee M, Rich K, Shiroma K, Jia C, Zimmerman T. Trust in COVID‐19 public health information. Journal of the Association for Information Science and Technology 2022;73(12):1776 View
  189. Kobayashi R, Takedomi Y, Nakayama Y, Suda T, Uno T, Hashimoto T, Toyoda M, Yoshinaga N, Kitsuregawa M, Rocha L. Evolution of Public Opinion on COVID-19 Vaccination in Japan: Large-Scale Twitter Data Analysis. Journal of Medical Internet Research 2022;24(12):e41928 View
  190. YEKE S, SELÇUK A. COVID-19 SÜRECİNDE MOBİL SAĞLIK UYGULAMALARI: HES UYGULAMASINA YÖNELİK KRİTİK BAŞARI FAKTÖRLERİ ANALİZİ. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 2022;12(4):1887 View
  191. Ding J, Xu M, Tse Y, Lin K, Zhang M. Customer opinions mining through social media: insights from sustainability fraud crisis - Volkswagen emissions scandal. Enterprise Information Systems 2023;17(8) View
  192. Fernandez G, Maione C, Yang H, Zaballa K, Bonnici N, Carter J, Spitzberg B, Jin C, Tsou M. Social Network Analysis of COVID-19 Sentiments: 10 Metropolitan Cities in Italy. International Journal of Environmental Research and Public Health 2022;19(13):7720 View
  193. Malik A, Bashir F, Mahmood K. Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19. Sage Open 2023;13(1) View
  194. Baker H, Concannon S, So E, Yeung C. Information sharing practices during the COVID-19 pandemic: A case study about face masks. PLOS ONE 2022;17(5):e0268043 View
  195. Munteanu C, Mireşan V, Răducu C, Ihuţ A, Uiuiu P, Pop D, Neacşu A, Cenariu M, Groza I. Can Cultured Meat Be an Alternative to Farm Animal Production for a Sustainable and Healthier Lifestyle?. Frontiers in Nutrition 2021;8 View
  196. Gao H, Zhao Q, Ning C, Guo D, Wu J, Li L. Does the COVID-19 Vaccine Still Work That “Most of the Confirmed Cases Had Been Vaccinated”? A Content Analysis of Vaccine Effectiveness Discussion on Sina Weibo during the Outbreak of COVID-19 in Nanjing. International Journal of Environmental Research and Public Health 2021;19(1):241 View
  197. Lloret-Pineda A, He Y, Haro J, Cristóbal-Narváez P. Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis. JMIR Formative Research 2022;6(5):e29183 View
  198. Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social Media Use and Mental Health: A Global Analysis. Epidemiologia 2022;3(1):11 View
  199. Usher K, Durkin J, Martin S, Vanderslott S, Vindrola-Padros C, Usher L, Jackson D. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(10):e29025 View
  200. Gourisaria M, Chandra S, Das H, Patra S, Sahni M, Leon-Castro E, Singh V, Kumar S. Semantic Analysis and Topic Modelling of Web-Scrapped COVID-19 Tweet Corpora through Data Mining Methodologies. Healthcare 2022;10(5):881 View
  201. de Oliveira D, Albuquerque U. Cultural Evolution and Digital Media: Diffusion of Fake News About COVID-19 on Twitter. SN Computer Science 2021;2(6) View
  202. 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
  203. Karami A, Zhu M, Goldschmidt B, Boyajieff H, Najafabadi M. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059 View
  204. Raquel C, Ribeiro K, Alencar N, Souza D, Barreto I, Andrade L. Os caminhos da ciência para enfrentar fake news sobre covid-19. Saúde e Sociedade 2022;31(4) View
  205. Bran R, Tiru L, Grosseck G, Holotescu C, Malita L. Learning from Each Other—A Bibliometric Review of Research on Information Disorders. Sustainability 2021;13(18):10094 View
  206. 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
  207. 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
  208. Liu Q, Yang F. Health as Battlefield: News and Misinformation in the Early Stage of COVID-19 Outbreak. International Journal of Environmental Research and Public Health 2022;19(16):9800 View
  209. Vyas P, Reisslein M, Rimal B, Vyas G, Basyal G, Muzumdar P. Automated Classification of Societal Sentiments on Twitter With Machine Learning. IEEE Transactions on Technology and Society 2022;3(2):100 View
  210. Etta G, Galeazzi A, Hutchings J, James Smith C, Conti M, Quattrociocchi W, Riva G, Jalloh M. COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and New Zealand. PLOS ONE 2022;17(5):e0267022 View
  211. 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
  212. 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
  213. ÇİMKE S, YILDIRIM GÜRKAN D. Determining the Global Corona Agenda via Google Trends. Black Sea Journal of Public and Social Science 2022;5(1):17 View
  214. Lamsal R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2021;51(5):2790 View
  215. Goetz S, Heaton C, Imran M, Pan Y, Tian Z, Schmidt C, Qazi U, Ofli F, Mitra P. Food insufficiency and Twitter emotions during a pandemic. Applied Economic Perspectives and Policy 2023;45(2):1189 View
  216. Miquel-Segarra S, Rangel Pérez C, Monfort A. Análisis del uso de Twitter como plataforma estratégica de diálogo: las empresas del IBEX35 y la difusión de mensajes sobre COVID. Revista de Comunicación 2023;22(1) View
  217. Lohiniva A, Sibenberg K, Austero S, Skogberg N. Social Listening to Enhance Access to Appropriate Pandemic Information Among Culturally Diverse Populations: Case Study From Finland. JMIR Infodemiology 2022;2(2):e38343 View
  218. 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
  219. Jalil Z, Abbasi A, Javed A, Badruddin Khan M, Abul Hasanat M, Malik K, Saudagar A. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques. Frontiers in Public Health 2022;9 View
  220. Hernandez L, Callahan T, Banda J. A biomedically oriented automatically annotated Twitter COVID-19 dataset. Genomics & Informatics 2021;19(3):e21 View
  221. Zhang T, Yu L. The Relationship between Government Information Supply and Public Information Demand in the Early Stage of COVID-19 in China—An Empirical Analysis. Healthcare 2021;10(1):77 View
  222. Chishima Y, Liu I. Mental Health During the COVID-19 Pandemic in Japan: Applying Topic Modeling in Daily Life Descriptions. International Journal of Mental Health and Addiction 2023;21(1):180 View
  223. Lanyi K, Green R, Craig D, Marshall C. COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK. Frontiers in Digital Health 2022;3 View
  224. Wang Y, Chen Y. Characterizing discourses about COVID-19 vaccines on Twitter: a topic modeling and sentiment analysis approach. Journal of Communication in Healthcare 2023;16(1):103 View
  225. Patra R, Pandey N, Sudarsan D. Bibliometric analysis of fake news indexed in Web of Science and Scopus (2001-2020). Global Knowledge, Memory and Communication 2023;72(6/7):628 View
  226. Wankhade M, Rao A. Opinion analysis and aspect understanding during covid-19 pandemic using BERT-Bi-LSTM ensemble method. Scientific Reports 2022;12(1) View
  227. Yeung A, Tosevska A, Klager E, Eibensteiner F, Tsagkaris C, Parvanov E, Nawaz F, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov A. Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature. Journal of Medical Internet Research 2022;24(1):e28152 View
  228. Yan C, Law M, Nguyen S, Cheung J, Kong J. Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit. Journal of Medical Internet Research 2021;23(9):e32685 View
  229. Xu J, Liu C. Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China. Frontiers in Public Health 2021;9 View
  230. Liu J, Lu C, Lu S. Research on the Influencing Factors of Audience Popularity Level of COVID-19 Videos during the COVID-19 Pandemic. Healthcare 2021;9(9):1159 View
  231. Polyzos E, Fotiadis A, Huan T. From Heroes to Scoundrels: Exploring the effects of online campaigns celebrating frontline workers on COVID-19 outcomes. Technology in Society 2023;72:102198 View
  232. Alswedani S, Katib I, Abozinadah E, Mehmood R. Discovering Urban Governance Parameters for Online Learning in Saudi Arabia During COVID-19 Using Topic Modeling of Twitter Data. Frontiers in Sustainable Cities 2022;4 View
  233. León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L. Measuring the Impact of Language Models in Sentiment Analysis for Mexico’s COVID-19 Pandemic. Electronics 2022;11(16):2483 View
  234. 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
  235. Huang Y, Liu H, Zhang L, Li S, Wang W, Ren Z, Zhou Z, Ma X. The Psychological and Behavioral Patterns of Online Psychological Help-Seekers before and during COVID-19 Pandemic: A Text Mining-Based Longitudinal Ecological Study. International Journal of Environmental Research and Public Health 2021;18(21):11525 View
  236. León-Sandoval E, Zareei M, Barbosa-Santillán L, Falcón Morales L, Pareja Lora A, Ochoa Ruiz G, Hošovský A. Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico. Computational Intelligence and Neuroscience 2022;2022:1 View
  237. Falcón G, Moncada M, Rojas T, Arias G, Camacho C, Correa M, Lluncor E. Preventing COVID-19 as a nursing student through social networks in their family-social environment. Revista Brasileira de Enfermagem 2022;75(suppl 1) View
  238. Kłak A, Grygielska J, Mańczak M, Ejchman-Pac E, Owoc J, Religioni U, Olszewski R. Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis. International Journal of Environmental Research and Public Health 2022;19(3):1491 View
  239. 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
  240. Abramova O, Batzel K, Modesti D. Collective response to the health crisis among German Twitter users: A structural topic modeling approach. International Journal of Information Management Data Insights 2022;2(2):100126 View
  241. Chen Y, Niu H, Silva E. The road to recovery: Sensing public opinion towards reopening measures with social media data in post-lockdown cities. Cities 2023;132:104054 View
  242. Asare A, Sarpong E, Truong holds N, Osei‐Bonsu P, Ahado S, Mensah W. COVID‐19 pandemic and African innovation: Finding the good from the bad using Twitter data and text mining approach. International Social Science Journal 2023;73(250):959 View
  243. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  244. Babić K, Petrović M, Beliga S, Martinčić-Ipšić S, Matešić M, Meštrović A. Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model. Applied Sciences 2021;11(21):10442 View
  245. Gómez-Salgado J, Palomino-Baldeón J, Ortega-Moreno M, Fagundo-Rivera J, Allande-Cussó R, Ruiz-Frutos C. COVID-19 information received by the Peruvian population, during the first phase of the pandemic, and its association with developing psychological distress. Medicine 2022;101(5):e28625 View
  246. 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
  247. Selerio E, Caladcad J, Catamco M, Capinpin E, Ocampo L. Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process. Socio-Economic Planning Sciences 2022;82:101217 View
  248. Vincent W. Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences. JMIR Formative Research 2023;7:e38298 View
  249. Kwon S, Park A. Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India. Computers in Human Behavior 2022;128:107087 View
  250. Huang S, Tsao S, Chen H, Bin Noon G, Li L, Yang Y, Butt Z. Topic Modelling and Sentiment Analysis of Tweets Related to Freedom Convoy 2022 in Canada. International Journal of Public Health 2022;67 View
  251. Jiang X, Mohamed A. The insufficiency of the Malaysian contact tracing app from the perspective of Chinese tourists: preparing for international tourism in the post-COVID-19 world. Heliyon 2022;8(12):e12154 View
  252. Arévalo-Martínez R, Del Prado Flores R, Góngora Cuevas G. Comunicación presidencial sobre la COVID-19 vía Twitter: México, España y Estados Unidos. Global Media Journal México 2022;18(35):151 View
  253. latifi m, Davaridolatabadi N, Shahi M. The Effect of Virtual Social Networks on Users' Self-Care of Covid-19: A Structural Equation Modeling. Journal of Health Administration 2021;24(1):54 View
  254. Choi R, Nagappan A, Kopyto D, Wexler A. Pregnant at the start of the pandemic: a content analysis of COVID-19-related posts on online pregnancy discussion boards. BMC Pregnancy and Childbirth 2022;22(1) View
  255. Huguet-Feixa A, Artigues-Barberà E, Sol J, Godoy P, Ortega Bravo M. Effects of the COVID-19 Pandemic on the Decision and Doubts About Vaccination in Catalonia: Online Cross-sectional Questionnaire. JMIR Formative Research 2023;7:e41799 View
  256. Azizi F, Hajiabadi H, Vahdat-Nejad H, Khosravi M. Detecting and analyzing topics of massive COVID-19 related tweets for various countries. Computers and Electrical Engineering 2023;106:108561 View
  257. Ueda M, Watanabe K, Sueki H. Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm. Journal of Medical Internet Research 2023;25:e44965 View
  258. Alswedani S, Mehmood R, Katib I. Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19. Frontiers in Sustainable Cities 2022;4 View
  259. Saito R, Haruyama S. Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic. Journal of Computational Social Science 2023;6(1):359 View
  260. Arias F, Zambrano Nunez M, Guerra-Adames A, Tejedor-Flores N, Vargas-Lombardo M. Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics. IEEE Access 2022;10:74850 View
  261. Mahdikhani M. Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic. International Journal of Information Management Data Insights 2022;2(1):100053 View
  262. Chen Y, Zhang Z. An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage. Information Processing & Management 2022;59(6):103073 View
  263. Trivedi S, Patra P, Singh A, Deka P, Srivastava P. Analyzing the research trends of COVID-19 using topic modeling approach. Journal of Modelling in Management 2023;18(4):1204 View
  264. Tanhapour M, Safaei A, Shakibian H. Personal health record system based on social network analysis. Multimedia Tools and Applications 2022;81(19):27601 View
  265. Chen Y, Zhang Z. Exploring public perceptions on alternative meat in China from social media data using transfer learning method. Food Quality and Preference 2022;98:104530 View
  266. Chandra R, Krishna A, Cotfas L. COVID-19 sentiment analysis via deep learning during the rise of novel cases. PLOS ONE 2021;16(8):e0255615 View
  267. Shah U, Biswas M, Ali R, Ali H, Shah Z. Public attitudes on social media toward vaccination before and during the COVID-19 pandemic. Human Vaccines & Immunotherapeutics 2022;18(6) View
  268. Singh A, Mukherjee S, Pandey V, Jha A. Role and Usage of Social Media in COVID-19. International Journal of e-Collaboration 2022;18(1):1 View
  269. Segado-Fernández S, Lozano-Estevan M, Jiménez-Gómez B, Ruiz-Núñez C, Jiménez Hidalgo P, Fernández-Quijano I, González-Rodríguez L, Santillán-García A, Herrera-Peco I. Health Literacy and Critical Lecture as Key Elements to Detect and Reply to Nutrition Misinformation on Social Media: Analysis between Spanish Healthcare Professionals. International Journal of Environmental Research and Public Health 2022;20(1):23 View
  270. Koukaras P, Tjortjis C, Rousidis D. Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences. Information Systems 2022;109:102054 View
  271. Ghasemyani S, Khodayari-Zarnaq R. COVID-19 Pandemic Tweets by Iranian Political Elites: A Content Analysis Study. Depiction of Health 2021;12(4):298 View
  272. Uyheng J, Bellutta D, Carley K. Bots Amplify and Redirect Hate Speech in Online Discourse About Racism During the COVID-19 Pandemic. Social Media + Society 2022;8(3) View
  273. Pu X, Jiang Q, Fan B. Chinese public opinion on Japan's nuclear wastewater discharge: A case study of Weibo comments based on a thematic model. Ocean & Coastal Management 2022;225:106188 View
  274. Chai C. Comparison of text preprocessing methods. Natural Language Engineering 2023;29(3):509 View
  275. Gerrath M, Mafael A, Ulqinaku A, Biraglia A. Service failures in times of crisis: An analysis of eWOM emotionality. Journal of Business Research 2023;154:113349 View
  276. Gamal N, Ghoniemy S, Faheem H, Seada N. Sentiment-Based Spatiotemporal Prediction Framework for Pandemic Outbreaks Awareness Using Social Networks Data Classification. IEEE Access 2022;10:76434 View
  277. Maphosa V. Promoting access to COVID-19 Information by underserved communities through the development of a mHealth app. Cogent Public Health 2022;9(1) View
  278. Reveilhac M, Blanchard A. The framing of health technologies on social media by major actors: Prominent health issues and COVID-related public concerns. International Journal of Information Management Data Insights 2022;2(1):100068 View
  279. Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922 View
  280. Wang A, Lan J, Wang M, Yu C. The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study. JMIR Medical Informatics 2021;9(11):e30467 View
  281. Mourad A, Elbassuoni S. A large-scale analysis of COVID-19 tweets in the Arab region. Social Network Analysis and Mining 2022;12(1) View
  282. Lim S, Ng Q, Xin X, Lim Y, Boon E, Liew T. Public Discourse Surrounding Suicide during the COVID-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period. International Journal of Environmental Research and Public Health 2022;19(21):13834 View
  283. Li K, Feng C, Chen H, Feng Y, Li J. Trends in Worldwide Research in Inflammatory Bowel Disease Over the Period 2012–2021: A Bibliometric Study. Frontiers in Medicine 2022;9 View
  284. 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
  285. Zeler I, Oliveira A, Triano Morales R. Responsabilidad Social Corporativa y crisis sanitaria de la Covid-19: la comunicación de las empresas energéticas españolas en Twitter Corporate. Revista de Comunicación 2022;21(1):451 View
  286. Binkheder S, Aldekhyyel R, AlMogbel A, Al-Twairesh N, Alhumaid N, Aldekhyyel S, Jamal A. Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(24):13388 View
  287. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  288. Sirola A, Nuckols J, Nyrhinen J, Wilska T. The use of the Dark Web as a COVID-19 information source: A three-country study. Technology in Society 2022;70:102012 View
  289. Lopez C, Gallemore C. An augmented multilingual Twitter dataset for studying the COVID-19 infodemic. Social Network Analysis and Mining 2021;11(1) View
  290. Fernandez G, Maione C, Zaballa K, Bonnici N, Spitzberg B, Carter J, Yang H, McKew J, Bonora F, Ghodke S, Jin C, De Ocampo R, Kepner W, Tsou M. The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics. The International Journal of Intelligence, Security, and Public Affairs 2021;23(3):228 View
  291. Luo X, Gandhi P, Storey S, Huang K. A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media. IEEE Journal of Biomedical and Health Informatics 2022;26(4):1737 View
  292. Shah U, Abd-alrazaq A, Schneider J, Househ M, Shah Z. Twitters’ Concerns and Opinions About the COVID-19 Booster Shots: Infoveillance Study. Journal of Consumer Health on the Internet 2022;26(4):337 View
  293. DEMİRBAŞ M, KANTAŞ YILMAZ F. Covid-19 Pandemisinin Sosyal Medya Yansımaları: İçerik Analizi Çalışması. Sağlık ve Sosyal Refah Araştırmaları Dergisi 2022;4(2):218 View
  294. 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
  295. Koren A, Alam M, Koneru S, DeVito A, Abdallah L, Liu B. Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis. JMIR Formative Research 2021;5(12):e31358 View
  296. Osorio Andrade C, Arango Pastrana C, Jiménez Zarco A. Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico. Revista Perspectiva Empresarial 2021;8(2-2):35 View
  297. 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
  298. Šumskienė E, Banevičiūtė - Čirgelienė S. External Communication of Institutions Providing Social Services during the COVID-19 Pandemic. Socialinė teorija, empirija, politika ir praktika 2022;25:22 View
  299. Gouvernet B, Guénolé N, Chapillon P, Combaluzier S, Gouvernet C, Plaie T. Impact du 3e confinement lié à la Covid19 sur les émotions des Français : exploration textuelle de 481 601 flux Twitter. Psychologie Française 2022;67(4):489 View
  300. Zhou Y, Xu J, Yin M, Zeng J, Ming H, Wang Y. 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. International Journal of Environmental Research and Public Health 2022;19(18):11306 View
  301. Liu Y, Yin Z, Ni C, Yan C, Wan Z, Malin B. Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study. Journal of Medical Internet Research 2023;25:e42985 View
  302. Ng J, Abdelkader W, Lokker C. Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data. BMC Complementary Medicine and Therapies 2022;22(1) View
  303. Arias F, Guerra-Adames A, Zambrano M, Quintero-Guerra E, Tejedor-Flores N. Analyzing Spanish-Language Public Sentiment in the Context of a Pandemic and Social Unrest: The Panama Case. International Journal of Environmental Research and Public Health 2022;19(16):10328 View
  304. Li X, Xu M, Zeng W, Tse Y, Chan H. Exploring customer concerns on service quality under the COVID-19 crisis: A social media analytics study from the retail industry. Journal of Retailing and Consumer Services 2023;70:103157 View
  305. Alsubaie M, Alzarah L, Alhemly F. Faculty Members’ Attitudes and Practices: How They Responded to Forced Adoption of Distance Education?. Sage Open 2022;12(3) View
  306. Raquel C, Ribeiro K, Alencar N, Souza D, Barreto I, Andrade L. Scientific ways to confront covid-19 fake news. Saúde e Sociedade 2022;31(4) View
  307. Blanco G, Lourenço A. Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations. Information Processing & Management 2022;59(3):102918 View
  308. Turki H, Jemielniak D, Hadj Taieb M, Labra Gayo J, Ben Aouicha M, Banat M, Shafee T, Prud’hommeaux E, Lubiana T, Das D, Mietchen D. Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata. PeerJ Computer Science 2022;8:e1085 View
  309. Abrams M, Pelullo A, Meisel Z, Merchant R, Purtle J, Agarwal A. State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis. JMIR Infodemiology 2023;3:e38676 View
  310. Farsi D, Martinez-Menchaca H, Ahmed M, Farsi N. Social Media and Health Care (Part II): Narrative Review of Social Media Use by Patients. Journal of Medical Internet Research 2022;24(1):e30379 View
  311. Ahmad A, Rustam F, Saad E, Siddique M, Lee E, Mansilla A, Díez I, Ashraf I, Qamar U. Analyzing preventive precautions to limit spread of COVID-19. PLOS ONE 2022;17(8):e0272350 View
  312. 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
  313. Ye Q, Ozbay K, Zuo F, Chen X. Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City. Transportation Research Record: Journal of the Transportation Research Board 2023;2677(4):219 View
  314. Troisi O, Fenza G, Grimaldi M, Loia F. Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic. Computers in Human Behavior 2022;126:106986 View
  315. Li M, Hua Y, Liao Y, Zhou L, Li X, Wang L, Yang J. Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Journal of Medical Internet Research 2022;24(10):e39676 View
  316. Sussman K, Bouchacourt L, Bright L, Wilcox G, Mackert M, Norwood A, Allport Altillo B. COVID-19 topics and emotional frames in vaccine hesitation: A social media text and sentiment analysis. DIGITAL HEALTH 2023;9 View
  317. 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
  318. Erdem B. The Role of Social Media in the Times of the Covid-19 Pandemic. European Journal of Social Sciences 2021;4(2):106 View
  319. He S, Li D, Liu C, Xiong Y, Liu D, Feng J, Wen J, Napoli C. Crisis communication in the WHO COVID-19 press conferences: A retrospective analysis. PLOS ONE 2023;18(3):e0282855 View
  320. Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior 2023;144:107734 View
  321. Sirola A, Nuckols J, Nyrhinen J, Wilska T. The Use of Dark Web as a COVID-19 Information Source: A Three-Country Study. SSRN Electronic Journal 2022 View
  322. Xie T, Ge Y, Xu Q, Chen S. Public Awareness and Sentiment Analysis of COVID-Related Discussions Using BERT-Based Infoveillance. AI 2023;4(1):333 View
  323. Golos A, Guntuku S, Piltch-Loeb R, Leininger L, Simanek A, Kumar A, Albrecht S, Dowd J, Jones M, Buttenheim A, Taskin N. Dear Pandemic: A topic modeling analysis of COVID-19 information needs among readers of an online science communication campaign. PLOS ONE 2023;18(3):e0281773 View
  324. Zammarchi G, Mola F, Conversano C. Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance. Statistical Methods & Applications 2023;32(3):1001 View
  325. Gong W, Liu J. Investigating the Predictors of Telemedicine Service Usage Intention in China During the COVID-19 Pandemic: An Extended Technology Acceptance Perspective. Telemedicine and e-Health 2023;29(9):1390 View
  326. Wang A, Dara R, Yousefinaghani S, Maier E, Sharif S. A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception. Big Data and Cognitive Computing 2023;7(2):72 View
  327. Bélanger M, Lavenex S. Justifying mobility restrictions during the COVID-19 pandemic: a test in multilevel governance. West European Politics 2023;46(7):1343 View
  328. Peng R, Wang R. The infinity vaccine war: linguistic regularities and audience engagement of vaccine debate on Twitter. Online Information Review 2024;48(1):84 View
  329. Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
  330. Alma Çallı B, Ediz Ç. Top concerns of user experiences in Metaverse games: A text-mining based approach. Entertainment Computing 2023;46:100576 View
  331. Lee J, Wood E, Vogel N, Santhosh E, Chauhan P. Burn or Balm?: Exploring University Students’ Experiences With Social Media During the COVID-19 Pandemic. Psychological Reports 2023 View
  332. Tagliacozzo S, Albrecht F, Ganapati N. Public agencies tweeting the COVID-19 pandemic: cross-country comparison of must have and forgotten communication topics. Frontiers in Communication 2023;8 View
  333. Beogo I, Ramdé J, Anne A, Gagnon M, Sia D, Nguemeleu Tchouaket E. e–Mental Health Program to Prevent Psychological Distress Among French-Speaking International Students in a Linguistic-Cultural Minority Context (Ottawa, Alberta, and Quebec): Protocol for the Implementation and Evaluation of Psy-Web. JMIR Research Protocols 2023;12:e47059 View
  334. Shi J, Bendig D, Vollmar H, Rasche P. Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study. Journal of Medical Internet Research 2023;25:e45815 View
  335. Laurent-Simpson A. COVID-19 and Masking Disparities: Qualitative Analysis of Trust on the CDC’s Facebook Page. International Journal of Environmental Research and Public Health 2023;20(12):6062 View
  336. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  337. Nxumalo C, Tokwe L, Ngcobo S, Gam N, Mchunu G, Makhado L. Exploring the perceptions and lived experiences of family members living with people diagnosed with COVID-19 in South Africa: a descriptive phenomenological study. International Journal of Qualitative Studies on Health and Well-being 2023;18(1) View
  338. Butt M, Malik A, Qamar N, Yar S, Malik A, Rauf U. A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media. Sensors 2023;23(12):5543 View
  339. Sokolski M, Kalużna-Oleksy M, Tycińska A, Jankowska E. Telemedicine in Heart Failure in the COVID-19 and Post-Pandemic Era: What Have We Learned?. Biomedicines 2023;11(8):2222 View
  340. Ramirez L, Wickner P, Cline N, Rehman N, Wu A, Pien L, Stukus D. How Likes and Retweets Impacted Our Patients During the COVID-19 Pandemic. The Journal of Allergy and Clinical Immunology: In Practice 2023;11(11):3356 View
  341. Farhat F, Sohail S, Alam M, Ubaid S, Shakil , Ashhad M, Madsen D. COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control. Frontiers in Artificial Intelligence 2023;6 View
  342. Wang Y, Chukwusa E, Koffman J, Curcin V. Public Opinions About Palliative and End-of-Life Care During the COVID-19 Pandemic: Twitter-Based Content Analysis. JMIR Formative Research 2023;7:e44774 View
  343. Khakimova A, Zolotarev O, Sharma B, Agrawal S, Jain S. Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis. Sustainability 2023;15(13):10008 View
  344. Piltch-Loeb R, James R, Albrecht S, Buttenheim A, Dowd J, Kumar A, Jones M, Leininger L, Simanek A, Aronowitz S. What Were the Information Voids? A Qualitative Analysis of Questions Asked by Dear Pandemic Readers between August 2020-August 2021. Journal of Health Communication 2023;28(sup1):25 View
  345. Ramadona A, Arisanti R, Fuad A, Imron M, Indriani C, Ahmad R. Mengukur Perilaku Manusia dalam Skala Besar dan Secara Real-time: Studi Kasus Pola Mobilitas Penduduk dan Fase Awal Pandemi COVID-19 di Indonesia. Jurnal Epidemiologi Kesehatan Komunitas 2023;8(2):153 View
  346. Dong L, Liu Y. Frontiers of policy and governance research in a smart city and artificial intelligence: an advanced review based on natural language processing. Frontiers in Sustainable Cities 2023;5 View
  347. Adebesin F, Smuts H, Mawela T, Maramba G, Hattingh M. The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis. JMIR Infodemiology 2023;3:e48620 View
  348. Luo H, Meng X, Zhao Y, Cai M. Rise of social bots: The impact of social bots on public opinion dynamics in public health emergencies from an information ecology perspective. Telematics and Informatics 2023;85:102051 View
  349. Alhumoud S, Al Wazrah A, Alhussain L, Alrushud L, Aldosari A, Altammami R, Almukirsh N, Alharbi H, Alshahrani W. ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning. PeerJ Computer Science 2023;9:e1507 View
  350. Fogarty B, Massie K, Svistova J. Unmasking twitter discourse: an infodemiology study of covid-19 mitigation practices. Atlantic Journal of Communication 2024;32(1):124 View
  351. Amit Pimpalkar , Jeberson Retna Raj . A Novel Paradigm for Sentiment Analysis on COVID-19 Tweets with Transfer Learning Based Fine-Tuned BERT. Advances in Technology Innovation 2023;8(4):254 View
  352. Kamarulbaid A, Mohd Sofian M, Abu Hasan N, Mohd Noor Shah N, Mustaffa N, Mohamed Najid H, Mhd Omar M. Be Real, Do Not Be Fake: A Pilot Study on Universiti Sains Islam Malaysia Students' Fake News Literacy. KOMUNIKA: Jurnal Dakwah dan Komunikasi 2023;17(2):191 View
  353. Rukasha I. The Double-Edged Sword Effect of Social Media on COVID-19 in Sub-Saharan Africa. Commonwealth Youth and Development 2023;20(1) View
  354. Déom N, Vanderslott S, Kingori P, Martin S. Online on the frontline: A longitudinal social media analysis of UK healthcare workers’ attitudes to COVID-19 vaccines using the 5C framework. Social Science & Medicine 2023;339:116313 View
  355. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  356. Alvarez-Mon M, Pereira-Sanchez V, Hooker E, Sanchez F, Alvarez-Mon M, Teo A. Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study. JMIR Infodemiology 2023;3:e43685 View
  357. Lopes A, Brotas A, Massarani L. The public conversation about vaccines and vaccination against covid-19 on Twitter: an infodemiological study. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  358. Koukaras P, Rousidis D, Tjortjis C. Unraveling Microblog Sentiment Dynamics: A Twitter Public Attitudes Analysis towards COVID-19 Cases and Deaths. Informatics 2023;10(4):88 View
  359. Lopes A, Brotas A, Massarani L. A conversação pública acerca da vacina e da vacinação contra covid-19 no Twitter: um estudo infodemiológico. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  360. 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
  361. 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
  362. Brune C, Agerholm J, Liljas A. Medical Doctors’ Perceptions of the Media Coverage during the Covid-19 Pandemic: A Case Study in Stockholm. Health Services Insights 2023;16 View
  363. Ramzy M, Ibrahim B. User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques. Information Processing & Management 2024;61(3):103644 View
  364. HOŞTUT S, GÜDEKLİ A, GÜZELDAĞ F. Safeguarding Truth in Turmoil: A Study of the Turkish Government's Strategic Deployment of Twitter during the February 6, 2023, Earthquakes. Bilig 2024;(108):51 View
  365. Arshed M, Mumtaz S, Liaqat M, Haq I, Hussain M. LSTM Based Sentiment Analysis Model to Monitor COVID-19 Emotion. VFAST Transactions on Software Engineering 2022;10(2):70 View
  366. Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C, Park Y, Li X, Liu Y, Fan H, Mitchell J, Li Z, Hohl A. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing 2024;4 View
  367. 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
  368. So B, Kwon K. Combined benefits of active and passive social media during the COVID-19 pandemic: a health perspective. Global Knowledge, Memory and Communication 2024 View
  369. Angelopoulou A, Mykoniatis K, Smith A. Analysis of Public Sentiment on COVID-19 Mitigation Measures in Social Media in the United States Using Machine Learning. IEEE Transactions on Computational Social Systems 2024;11(1):307 View
  370. Vaghefi M, Beheshti N, Jain H. Dissemination of health messages in online social network: A study of healthcare providers’ content generation and dissemination on Twitter. Information & Management 2024;61(2):103925 View
  371. Wang Y, Wang X, Zhang J, Shi M, Wanta W. Tracking attention about COVID-19 vaccines on twitter and newspapers: A dynamic agenda-setting approach. Telematics and Informatics Reports 2024;13:100122 View
  372. Gyftopoulos S, Drosatos G, Fico G, Pecchia L, Kaldoudi E. Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public. Behavioral Sciences 2024;14(2):128 View
  373. 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
  374. Unlu A, Truong S, Sawhney N, Sivelä J, Tammi T. Tracing the dynamics of misinformation and vaccine stance in Finland amid COVID-19. Information, Communication & Society 2024:1 View
  375. Whitfield C, Liu Y, Anwar M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. Journal of Racial and Ethnic Health Disparities 2024 View
  376. Ghosh G, Koul S. Influence of Increased Online Information on Consumption Patterns during COVID-19: Case of Priority Medical Devices. Abhigyan 2024;42(2):69 View
  377. Jiang Y, Popov A, Li Z, Hodgson M, Huang B. A Sensor-Based Simulation Method for Spatiotemporal Event Detection. ISPRS International Journal of Geo-Information 2024;13(5):141 View
  378. Li Y, Zeng Z, Yu L. Withdrawn: The crisis communication of the COVID-19 pandemic in media discourse: Text mining for infectious disease frames and environmental pollution. AQUA — Water Infrastructure, Ecosystems and Society 2024 View
  379. Lau N, Zhao X, O'Daffer A, Weissman H, Barton K. Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis. JMIR Cancer 2024;10:e52061 View
  380. Kalaite M. Analisis Media Monitoring terhadap Brand EIGER pada Peluncuran Lini Koleksi “Safar Series”. Jurnal Bisnis dan Komunikasi Digital 2024;1(3):12 View
  381. Jigani A, Delcea C, Florescu M, Cotfas L. Tracking Happiness in Times of COVID-19: A Bibliometric Exploration. Sustainability 2024;16(12):4918 View
  382. Rabadán-Martín I, Barcos-Redín L, Pereira-Delgado J, Aguado-Correa F, Padilla-Garrido N. Topic-based engagement analysis: Focusing on hotel industry Twitter accounts. Tourism Management 2025;106:104981 View
  383. Zhang Z, Cheng Z, Gu T, Zhang Y. Determinants of users' unverified information sharing on social media platforms: A herding behavior perspective. Acta Psychologica 2024;248:104345 View
  384. Afyouni I, Hashim I, Aghbari Z, Elsaka T, Almahmoud M, Abualigah L. Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond. Applied Spatial Analysis and Policy 2024;17(3):1359 View
  385. Xu T, Zhu D, Yu Z, Dang J, Schiöth H. Differentiating the relationships between traditional and new media use and sleep quality during the COVID-19 pandemic: roles of psychological distress and age. Frontiers in Psychology 2024;15 View
  386. Meacham M, Nobles A, Bone C, Gilbert M, Thrul J, Mitra S. The Reddit cannabis subjective highness rating scale: Applying computational social science to explore psychological and environmental correlates of naturalistic cannabis use. PLOS ONE 2024;19(6):e0300290 View
  387. Bhatnagr P, Rajesh A. Artificial intelligence features and expectation confirmation theory in digital banking apps: Gen Y and Z perspective. Management Decision 2024 View
  388. Abasi S, Amiri F. Sentiment Analysis of Social Media Posts in the Corona Crisis using two-stage Clustering. Signal and Data Processing 2023;20(1):145 View
  389. Glasdam S, Xu H, Gulestø R, Glasdam S, Stjernswärd S. Scandinavian trade unions’ guidelines regarding nurses’ use of social media: a Fairclough-inspired critical discourse analysis. Frontiers in Communication 2024;9 View
  390. Ancis J, Untwal K. Holiday Tweets: A Qualitative Analysis of How Major Health Organizations Addressed Culture During the COVID-19 Pandemic. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  391. Hussain A, Nawabi A, Alam M, Iqbal M, Hussain S. Detecting Urdu COVID-19 misinformation using transfer learning. Social Network Analysis and Mining 2024;14(1) View
  392. Issac Sam S, Jasim K, Babu M. Customers’ metaverse service encounter perceptions: sentiment analysis and topic modeling. Journal of Hospitality Marketing & Management 2024:1 View
  393. Wu X, Gu G, Xie T, Zhao T, Min C. Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic. Humanities and Social Sciences Communications 2024;11(1) View
  394. Danaei Mehrabad S, Panahi S, Sedghi S, Aryankhesal A. Information and health literacy policies during pandemics: A narrative review. Health Information & Libraries Journal 2024;41(3):216 View
  395. Jamil M, Usman M, Ahmed N. Socioeconomic Repercussions of Biohazard on Geoscientific Activities with Regression Analysis for Oil Demand: Impact of Pandemic Covid-19. City University International Journal of Computational Analysis 2023;6(1):50 View
  396. Afifi S, Yaman A, Bakti I, Sumaedi S. Health communication and social media: Asian perspective. Global Knowledge, Memory and Communication 2024 View
  397. Ignaccolo C, Wibisono K, Sutto M, Plunz R. Tweeting during the Pandemic in New York City: Unveiling the Evolving Sentiment Landscape of NYC through a Spatiotemporal Analysis of Geolocated Tweets. Journal of Urban Technology 2024;31(3):3 View
  398. Leon-Silva J, Perea-Khalifi D. Crisis management through citizen engagement on Twitter: The case of the covid-19 pandemic in Latin American municipalities. International Public Management Journal 2024:1 View
  399. Ahmed W, Önkal D, Das R, Krishnan S, Olan F, Hardey M, Fenton A. Developing Techniques to Support Technological Solutions to Disinformation by Analyzing Four Conspiracy Networks During COVID-19. IEEE Transactions on Engineering Management 2024;71:13327 View
  400. Zhuang X, Wang Y. Social support and travel: Enhancing relationships, communication, and understanding for travel companions. International Journal of Tourism Research 2024;26(4) View
  401. Dash T, Chakraborty C, Mahapatra S, Panda G. Mitigating Information Interruptions by COVID-19 Face Masks: A Three-Stage Speech Enhancement Scheme. IEEE Transactions on Computational Social Systems 2024;11(4):4790 View
  402. Liu Z, Wu J, Wu C, Xia X. Shifting sentiments: analyzing public reaction to COVID-19 containment policies in Wuhan and Shanghai through Weibo data. Humanities and Social Sciences Communications 2024;11(1) View
  403. Choi S, Eom S. Using Twitter to fight the COVID-19 pandemic: the case of United States governors. Public Management Review 2024:1 View
  404. Wan M, Zhong Y, Gao X, Lee Y, Huang C. Fake News, Real Emotions: Emotion Analysis of COVID-19 Infodemic in Weibo. IEEE Transactions on Affective Computing 2024;15(3):815 View
  405. Hussna A, Alam M, Islam R, Alkhamees B, Hassan M, Uddin M. Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques. Heliyon 2024;10(18):e37760 View
  406. Bin Hossain M, Binmad R. The Analysis of Tourism Attitudes using Natural Language Processing Techniques: A Case of Malaysian Tourists. Asian Health, Science and Technology Reports 2024;32(3):57 View
  407. Rouhani S, Mozaffari F. Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification. Artificial Intelligence in Medicine 2024;157:102980 View
  408. 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
  409. Mukhamediyarov M, Nurmashev B, Bekaryssova D. Top 50 most cited articles on social media and healthcare: an altmetric analysis. Central Asian Journal of Medical Hypotheses and Ethics 2024;5(3):204 View
  410. Bolsen T, Palm R, Kingsland J. Framing the Origins of COVID-19. Science Communication 2020;42(5):562 View
  411. Kang X, Stamolampros P. Unveiling public perceptions at the beginning of lockdown: an application of structural topic modeling and sentiment analysis in the UK and India. BMC Public Health 2024;24(1) View
  412. Zhang Y, Fu L, Guo X, Li M. Dynamic Insights: Unraveling Public Demand Evolution in Health Emergencies Through Integrated Language Models and Spatial-Temporal Analysis. Risk Management and Healthcare Policy 2024;Volume 17:2443 View
  413. Kumble S, Diddi P, Bien-Aimé S. Understanding content dissemination on sensemaking: WHO’s social listening strategy on X during the initial phase of COVID-19. Online Media and Global Communication 2024 View
  414. Butz L, Leung M, Chin J, Chavez J, Serres E, Platkin C. Food Access in New York City During the COVID-19 Pandemic: A Social Media Monitoring Study (Preprint). JMIR Formative Research 2023 View
  415. Arya V, Attar R, Alhomoud A, Casillo M, Colace F, Conte D, Lombardi M, Santaniello D, Valentino C. FANE. International Journal on Semantic Web and Information Systems 2024;20(1):1 View
  416. Ahmad H, Azhar A, Algosaibi A, Hussain J. Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis. Sage Open 2024;14(4) View

Books/Policy Documents

  1. Barua R, Datta S, Bardhan N. Handbook of Research on Representing Health and Medicine in Modern Media. View
  2. Shah C, Sebastian M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  3. Sabuncu I, Aydin M. Data Science Advancements in Pandemic and Outbreak Management. View
  4. Casillo M, Colace F, Conte D, De Santo M, Lombardi M, Mottola S, Santaniello D. Computational Data and Social Networks. View
  5. Diván M, Singh M. Intelligent Human Computer Interaction. View
  6. Chen Z, Li Z, Ji Y, Stacks D, Yook B. Communicating Science in Times of Crisis. View
  7. Saire J, Cruz J. Information Management and Big Data. View
  8. Lähdeaho O, Hilmola O. Human Centred Intelligent Systems. View
  9. Sabuncu I. Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry. View
  10. Chire Saire J, Pineda-Briseño A. Artificial Intelligence for COVID-19. View
  11. Chauhan B, Jaiswar A, Bedi A, Verma S, Shrivastaw V, Vedrtnam A. Artificial Intelligence for COVID-19. View
  12. Abd-Alrazaq A, Schneider J, Alhuwail D, Hamdi M, Al-Kuwari S, Al-Thani D, Househ M. Multiple Perspectives on Artificial Intelligence in Healthcare. View
  13. Mehanović D, Mašetić Z, Vatreš A. Advanced Technologies, Systems, and Applications VI. View
  14. Hasti I, Nurmandi A, Muallidin I, Kurniawan D, Salahudin . Human Interaction, Emerging Technologies and Future Systems V. View
  15. Krishnan B, Kokatnoor S, Reddy V, Prathap B. Handbook of Research on the Global View of Open Access and Scholarly Communications. View
  16. Dhingra S, Arora R, Katariya P, Kumar A, Gupta V, Jain N. Sustainability Measures for COVID-19 Pandemic. View
  17. Kakulapati V, Reddy S, Kumar N. Lessons from COVID-19. View
  18. Rima B, Abderraouf B, Farid N. International Conference on Managing Business Through Web Analytics. View
  19. Löffelholz M. Risiken, Krisen, Konflikte. View
  20. Kumar A, Yun K, Negusse D, Misgna H, Ahmed M. Advances in Intelligent Computing and Communication. View
  21. Fernandez G, Maione C, Zaballa K, Bonnici N, Spitzberg B, Carter J, Yang H, McKew J, Bonora F, Ghodke S, Jin C, De Ocampo R, Kepner W, Tsou M. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. View
  22. Zhao Q, Nie L, Xu X. Comparative Studies on Pandemic Control Policies and the Resilience of Society. View
  23. Bhanye J, Bhanye A. The Palgrave Handbook of Global Social Problems. View
  24. Butt Z. Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry. View
  25. Pousset R. Senizid. View
  26. Comito C. Artificial Intelligence in Healthcare and COVID-19. View
  27. Yıldırım E, Yazgan H, Özbek O, Günay A, Kocaçınar B, Şengel Ö, Akbulut F. Artificial Intelligence Applications and Innovations. View
  28. Comito C. Big Data – BigData 2023. View
  29. Wang G, Li W, Wu S, Bai Q, Lai E. PRICAI 2023: Trends in Artificial Intelligence. View
  30. Narawade V, Dandekar A. Soft Computing and Signal Processing. View
  31. Gyftopoulos S, Drosatos G, Pecchia L, Fico G, Kaldoudi E. MEDICON’23 and CMBEBIH’23. View
  32. Dufty N. Major Incidents, Pandemics and Mental Health. View
  33. Alhuwail D, Alhouti A. Resilient Health. View
  34. Afroditi A, Leonidas H, Eirini T, Elli V, Christina B. Advances in Advertising Research XIV. View
  35. Dempere J. Advancements in Health Sciences. View
  36. Kumar A, Kaushik P, Tarun S. Advances in Artificial-Business Analytics and Quantum Machine Learning. View
  37. Prabu M, Sountharrajan S, Suganya E, Bavirisetti D. Smart Computing Techniques in Industrial IoT. View
  38. Ventura V, Jezek E. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021. View
  39. Lien Y, Wu W. Innovative Design and Engineering Applications of Intelligent Systems Under the Framework of Industry 4.0. View