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

JMIR Theme Issue: COVID-19 Special Issue (2458) Artificial Intelligence (1407) Vaccination and Immunization in the Digital Age (378) Mass Media/Social Media Communication and Campaigns (466) Outbreak and Pandemic Preparedness and Management (1738) COVID-19 Vaccination (153) Infodemiology and Infoveillance (1363) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26627, first published .
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

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

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

Authors of this article:

Amir Hussain1 Author Orcid Image ;   Ahsen Tahir1, 2 Author Orcid Image ;   Zain Hussain3 Author Orcid Image ;   Zakariya Sheikh3 Author Orcid Image ;   Mandar Gogate1 Author Orcid Image ;   Kia Dashtipour1 Author Orcid Image ;   Azhar Ali4, 5 Author Orcid Image ;   Aziz Sheikh6 Author Orcid Image
Article Authors Cited by (176) Tweetations (19) Metrics

Journals

  1. Latkin C, Dayton L, Miller J, Yi G, Jaleel A, Nwosu C, Yang C, Falade-Nwulia O. Behavioral and Attitudinal Correlates of Trusted Sources of COVID-19 Vaccine Information in the US. Behavioral Sciences 2021;11(4):56 View
  2. Cresswell K, Tahir A, Sheikh Z, Hussain Z, Domínguez Hernández A, Harrison E, Williams R, Sheikh A, Hussain A. Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis. Journal of Medical Internet Research 2021;23(5):e26618 View
  3. Bhardwaj R, Majumder N, Poria S. Investigating Gender Bias in BERT. Cognitive Computation 2021;13(4):1008 View
  4. Yousefinaghani S, Dara R, Mubareka S, Papadopoulos A, Sharif S. An analysis of COVID-19 vaccine sentiments and opinions on Twitter. International Journal of Infectious Diseases 2021;108:256 View
  5. Dashtipour K, Taylor W, Ansari S, Gogate M, Zahid A, Sambo Y, Hussain A, Abbasi Q, Imran M. Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media. Frontiers in Big Data 2021;4 View
  6. Lyu J, Han E, Luli G. COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2021;23(6):e24435 View
  7. Hu T, Wang S, Luo W, Zhang M, Huang X, Yan Y, Liu R, Ly K, Kacker V, She B, Li Z. Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective. Journal of Medical Internet Research 2021;23(9):e30854 View
  8. Banda J, Tekumalla R, Wang G, Yu J, Liu T, Ding Y, Artemova E, Tutubalina E, Chowell G. A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration. Epidemiologia 2021;2(3):315 View
  9. Marcec R, Likic R. Using Twitter for sentiment analysis towards AstraZeneca/Oxford, Pfizer/BioNTech and Moderna COVID-19 vaccines. Postgraduate Medical Journal 2022;98(1161):544 View
  10. 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
  11. Saini V, Liang L, Yang Y, Le H, Wu C. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR Infodemiology 2022;2(1):e37077 View
  12. 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
  13. Aljedaani W, Abuhaimed I, Rustam F, Mkaouer M, Ouni A, Jenhani I. Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Social Network Analysis and Mining 2022;12(1) View
  14. Lieneck C, Heinemann K, Patel J, Huynh H, Leafblad A, Moreno E, Wingfield C. Facilitators and Barriers of COVID-19 Vaccine Promotion on Social Media in the United States: A Systematic Review. Healthcare 2022;10(2):321 View
  15. Zhang C, Wang S, Tjong Kim Sang E, Adriaanse M, Tummers L, Schraagen M, Qi J, Dastani M, Aarts H. Spatiotemporal variations of public opinion on social distancing in the Netherlands: Comparison of Twitter and longitudinal survey data. Frontiers in Public Health 2022;10 View
  16. ÇILGIN C, GÖKÇEN H, GÖKŞEN Y. Twitter’da COVID-19 aşılarına karşı kamu duyarlılığının çoğunluk oylama sınıflandırıcısı temelli makine öğrenmesi ile duygu analizi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2022;38(2):1093 View
  17. Florea A, Roman M. Artificial neural networks applied for predicting and explaining the education level of Twitter users. Social Network Analysis and Mining 2021;11(1) View
  18. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  19. 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
  20. Su Z. Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights. International Journal of Environmental Research and Public Health 2021;18(23):12447 View
  21. Mujahid M, Lee E, Rustam F, Washington P, Ullah S, Reshi A, Ashraf I. Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19. Applied Sciences 2021;11(18):8438 View
  22. Dang Q, Li S. Exploring Public Discussions Regarding COVID-19 Vaccinations on Microblogs in China: Findings from Machine Learning Algorithms. International Journal of Environmental Research and Public Health 2022;19(20):13476 View
  23. FUKUDA S, NANBA H, SHOJI H. An Analysis of People’s Emotional Change Toward Vaccines and Its Factors in the Corona Disaster. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2022;34(3):592 View
  24. Das R, Singh T. A multi-stage multimodal framework for sentiment analysis of Assamese in low resource setting. Expert Systems with Applications 2022;204:117575 View
  25. Lu S, Zhao L, Lai L, Shi C, Jiang W. How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media. International Journal of Environmental Research and Public Health 2022;19(3):1822 View
  26. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  27. 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
  28. Bustos V, Comer C, Manstein S, Laikhter E, Shiah E, Xun H, Lee B, Lin S. Twitter Voices: Twitter Users’ Sentiments and Emotions About COVID-19 Vaccination within the United States. European Journal of Environment and Public Health 2022;6(1):em0096 View
  29. Mane H, Yue X, Yu W, Doig A, Wei H, Delcid N, Harris A, Nguyen T, Nguyen Q. Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans. Healthcare 2022;10(12):2390 View
  30. 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
  31. Fazel S, Zhang L, Javid B, Brikell I, Chang Z. Harnessing Twitter data to survey public attention and attitudes towards COVID-19 vaccines in the UK. Scientific Reports 2021;11(1) View
  32. Teng S, Jiang N, Khong K. Using big data to understand the online ecology of COVID-19 vaccination hesitancy. Humanities and Social Sciences Communications 2022;9(1) View
  33. 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
  34. Magazzino C, Mele M, Coccia M. A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality. Epidemiology and Infection 2022;150 View
  35. Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
  36. Malik T, Tahir A, Bilal A, Dashtipour K, Imran M, Abbasi Q. Social Sensing for Sentiment Analysis of Policing Authority Performance in Smart Cities. Frontiers in Communications and Networks 2022;2 View
  37. Lotto M, Sá Menezes T, Zakir Hussain I, Tsao S, Ahmad Butt Z, P Morita P, Cruvinel T. Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study. Journal of Medical Internet Research 2022;24(5):e37519 View
  38. Gélinas-Gascon F, Khoury R. Modeling and Moderation of COVID-19 Social Network Chat. Information 2023;14(2):124 View
  39. Zhang M, Chen Z, Qi X, Liu J. Could Social Bots’ Sentiment Engagement Shape Humans’ Sentiment on COVID-19 Vaccine Discussion on Twitter?. Sustainability 2022;14(9):5566 View
  40. Mermer G, Özsezer G. Discussions About COVID-19 Vaccination on Twitter in Turkey: Sentiment Analysis. Disaster Medicine and Public Health Preparedness 2023;17 View
  41. Li T, Zeng Z, Sun J, Sun S. Using data mining technology to analyse the spatiotemporal public opinion of COVID-19 vaccine on social media. The Electronic Library 2022;40(4):435 View
  42. Cai R, Zhang J, Li Z, Zeng C, Qiao S, Li X. Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study. JMIR Formative Research 2022;6(12):e37582 View
  43. Alamoodi A, Zaidan B, Al-Masawa M, Taresh S, Noman S, Ahmaro I, Garfan S, Chen J, Ahmed M, Zaidan A, Albahri O, Aickelin U, Thamir N, Fadhil J, Salahaldin A. Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy. Computers in Biology and Medicine 2021;139:104957 View
  44. Ali G, Rahman M, Hossain A, Rahman S, Paul K, Thill J, Samuel J. Public Perceptions about COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. SSRN Electronic Journal 2021 View
  45. Melton C, White B, Davis R, Bednarczyk R, Shaban-Nejad A. Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study. Journal of Medical Internet Research 2022;24(10):e40408 View
  46. Majeed A, Hwang S. Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments. Symmetry 2021;14(1):16 View
  47. Rodriguez A, Chen Y, Argueta C. FADOHS: Framework for Detection and Integration of Unstructured Data of Hate Speech on Facebook Using Sentiment and Emotion Analysis. IEEE Access 2022;10:22400 View
  48. Niu Q, Liu J, Kato M, Shinohara Y, Matsumura N, Aoyama T, Nagai-Tanima M. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis. JMIR Infodemiology 2022;2(1):e32335 View
  49. Wang S, Huang X, Hu T, She B, Zhang M, Wang R, Gruebner O, Imran M, Corcoran J, Liu Y, Bao S. A global portrait of expressed mental health signals towards COVID-19 in social media space. International Journal of Applied Earth Observation and Geoinformation 2023;116:103160 View
  50. Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
  51. Zhang Z, Feng G, Xu J, Zhang Y, Li J, Huang J, Akinwunmi B, Zhang C, Ming W. The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study. JMIR Public Health and Surveillance 2021;7(11):e32936 View
  52. Noor T, Almars A, Gad I, Atlam E, Elmezain M. Spatial Impressions Monitoring during COVID-19 Pandemic Using Machine Learning Techniques. Computers 2022;11(4):52 View
  53. Cevik E, Kirci Altinkeski B, Cevik E, Dibooglu S. Investor sentiments and stock markets during the COVID-19 pandemic. Financial Innovation 2022;8(1) View
  54. Hussain Z, Sheikh Z, Tahir A, Dashtipour K, Gogate M, Sheikh A, Hussain A. Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study. JMIR Public Health and Surveillance 2022;8(5):e32543 View
  55. Elsaka T, Afyouni I, Hashem I, Al Aghbari Z. Spatio-Temporal Sentiment Mining of COVID-19 Arabic Social Media. ISPRS International Journal of Geo-Information 2022;11(9):476 View
  56. Singhal A, Baxi M, Mago V. Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics 2022;10(8):e37829 View
  57. Mir A, Rathinam S, Gul S. Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati. Library Hi Tech 2022;40(2):340 View
  58. Alhuzali H, Zhang T, Ananiadou S. Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis. Journal of Medical Internet Research 2022;24(10):e40323 View
  59. Zhang W, Mukerjee S, Qin H. Topics and Sentiments Influence Likes: A Study of Facebook Public Pages' Posts About COVID-19 Vaccination. Cyberpsychology, Behavior, and Social Networking 2022;25(9):552 View
  60. To Q, To K, Huynh V, Nguyen N, Ngo D, Alley S, Tran A, Tran A, Pham N, Bui T, Vandelanotte C. Anti-vaccination attitude trends during the COVID-19 pandemic: A machine learning-based analysis of tweets. DIGITAL HEALTH 2023;9 View
  61. Sigalo N, St Jean B, Frias-Martinez V. Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets. JMIR Public Health and Surveillance 2022;8(7):e34285 View
  62. Riad A, Huang Y, Abdulqader H, Morgado M, Domnori S, Koščík M, Mendes J, Klugar M, Kateeb E. Universal Predictors of Dental Students’ Attitudes towards COVID-19 Vaccination: Machine Learning-Based Approach. Vaccines 2021;9(10):1158 View
  63. Diwali A, Dashtipour K, Saeedi K, Gogate M, Cambria E, Hussain A. Arabic sentiment analysis using dependency-based rules and deep neural networks. Applied Soft Computing 2022;127:109377 View
  64. Ahmad W, Wang B, Martin P, Xu M, Xu H. Enhanced sentiment analysis regarding COVID-19 news from global channels. Journal of Computational Social Science 2023;6(1):19 View
  65. Chen J, Zhou Y, Lv L. Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysis. Education and Information Technologies 2023;28(1):741 View
  66. Garett R, Young S. The role of artificial intelligence and predictive analytics in social audio and broader behavioral research. Decision Analytics Journal 2023;6:100187 View
  67. Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
  68. Feizollah A, Anuar N, Mehdi R, Firdaus A, Sulaiman A. Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis. International Journal of Environmental Research and Public Health 2022;19(10):6269 View
  69. Lun P, Gao J, Tang B, Yu C, Jabbar K, Low J, George P, Harapan H. A social ecological approach to identify the barriers and facilitators to COVID-19 vaccination acceptance: A scoping review. PLOS ONE 2022;17(10):e0272642 View
  70. 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
  71. Rahmanti A, Chien C, Nursetyo A, Husnayain A, Wiratama B, Fuad A, Yang H, Li Y. Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout. Computer Methods and Programs in Biomedicine 2022;221:106838 View
  72. Qiao S, Li Z, Liang C, Li X, Rudisill C. Three dimensions of COVID‐19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis. Risk Analysis 2023;43(6):1174 View
  73. Aljedaani W, Saad E, Rustam F, de la Torre Díez I, Ashraf I. Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends. Mathematics 2022;10(17):3199 View
  74. Chinnasamy P, Suresh V, Ramprathap K, Jebamani B, Srinivas Rao K, Shiva Kranthi M. COVID-19 vaccine sentiment analysis using public opinions on Twitter. Materials Today: Proceedings 2022;64:448 View
  75. Cano-Marin E, Mora-Cantallops M, Sanchez-Alonso S. The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare. Technological Forecasting and Social Change 2023;190:122386 View
  76. Liaqat S, Dashtipour K, Shah S, Rizwan A, Alotaibi A, Althobaiti T, Arshad K, Assaleh K, Ramzan N. Novel Ensemble Algorithm for Multiple Activity Recognition in Elderly People Exploiting Ubiquitous Sensing Devices. IEEE Sensors Journal 2021;21(16):18214 View
  77. Mir A, Sevukan R. Sentiment analysis of Indian Tweets about Covid-19 vaccines. Journal of Information Science 2024;50(5):1308 View
  78. Chandrasekaran R, Desai R, Shah H, Kumar V, Moustakas E. Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts. JMIR Infodemiology 2022;2(1):e33909 View
  79. Dashtipour K, Gogate M, Gelbukh A, Hussain A. Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis. Social Network Analysis and Mining 2022;12(1) View
  80. Hong Y, Xie F, An X, Lan X, Liu C, Yan L, Zhang H. Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts. Journal of Medical Internet Research 2023;25:e42671 View
  81. 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
  82. Jang H, Rempel E, Roe I, Adu P, Carenini G, Janjua N. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis. Journal of Medical Internet Research 2022;24(3):e35016 View
  83. Rizwan M, Mushtaq M, Akram U, Mehmood A, Ashraf I, Sahelices B. Depression Classification From Tweets Using Small Deep Transfer Learning Language Models. IEEE Access 2022;10:129176 View
  84. Greyling T, Rossouw S, Gesser-Edelsburg A. Positive attitudes towards COVID-19 vaccines: A cross-country analysis. PLOS ONE 2022;17(3):e0264994 View
  85. 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
  86. Wu J, Wang L, Hua Y, Li M, Zhou L, Bates D, Yang J. Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research 2023;25:e45419 View
  87. Malik T, Hanif N, Tahir A, Abbas S, Hanif M, Tariq F, Ansari S, Abbasi Q, Imran M. Crowd Control, Planning, and Prediction Using Sentiment Analysis: An Alert System for City Authorities. Applied Sciences 2023;13(3):1592 View
  88. Storey V, O’Leary D. Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication. Cognitive Computation 2024;16(4):1834 View
  89. Li W, Deng X, Shao H, Wang X. Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey. Computer Modeling in Engineering & Sciences 2021;129(1):65 View
  90. Chopra H, Vashishtha A, Pal R, Tyagi A, Sethi T. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. JMIR Infodemiology 2023;3:e34315 View
  91. Nyawa S, Tchuente D, Fosso-Wamba S. COVID-19 vaccine hesitancy: a social media analysis using deep learning. Annals of Operations Research 2024;339(1-2):477 View
  92. 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
  93. 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
  94. Huangfu L, Mo Y, Zhang P, Zeng D, He S. COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling. Journal of Medical Internet Research 2022;24(2):e31726 View
  95. Wang Z, Chen Y, Li Y, Kakkar D, Guan W, Ji W, Cain J, Lan H, Sha D, Liu Q, Yang C. Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method. Vaccines 2022;10(9):1486 View
  96. Zhang M, Qi X, Chen Z, Liu J. Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter. International Journal of Environmental Research and Public Health 2022;19(3):1651 View
  97. Obiedat R, Harfoushi O, Qaddoura R, Al-Qaisi L, Al-Zoubi A. An Evolutionary-Based Sentiment Analysis Approach for Enhancing Government Decisions during COVID-19 Pandemic: The Case of Jordan. Applied Sciences 2021;11(19):9080 View
  98. Umair A, Masciari E. Sentimental and spatial analysis of COVID-19 vaccines tweets. Journal of Intelligent Information Systems 2023;60(1):1 View
  99. Song C, Yin H, Shi X, Xie M, Yang S, Zhou J, Wang X, Tang Z, Yang Y, Pan J. Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities. International Journal of Disaster Risk Reduction 2022;77:103078 View
  100. Kumar S, Badruddin Khan M, Hoque Abul Hasanat M, Khader Jilani Saudagar A, AlTameem A, AlKhathami M. Sigmoidal Particle Swarm Optimization for Twitter Sentiment Analysis. Computers, Materials & Continua 2023;74(1):897 View
  101. SV P, Bhanj P, Jha P, Chandran D, Singh P, Chakraborty S, Dey A, Dhama K. iNCOVACC COVID-19 vaccine: A Twitter based Social Media Analysis Using Natural Language Processing, Sentiment Analysis, and Topic Modelling. Journal of Experimental Biology and Agricultural Sciences 2023;11(1):150 View
  102. Morita P, Zakir Hussain I, Kaur J, Lotto M, Butt Z. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356 View
  103. 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
  104. Schmid-Petri H, Bürger M, Schlögl S, Schwind M, Mitrović J, Kühn R. The multilingual Twitter-discourse on vaccination in Germany during the COVID-19 pandemic. Media and Communication 2023;11(1):293 View
  105. Davidson P, Muniandy T, Karmegam D. Perception of COVID-19 vaccination among Indian Twitter users: computational approach. Journal of Computational Social Science 2023;6(2):541 View
  106. Catelli R, Pelosi S, Comito C, Pizzuti C, Esposito M. Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Computers in Biology and Medicine 2023;158:106876 View
  107. Sharma B, Karunanayake I, Masood R, Ikram M. Don’t Be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19. IEEE Access 2023;11:29769 View
  108. Lokmanoglu A, Nisbet E, Osborne M, Tien J, Malloy S, Cueva Chacón L, Villa Turek E, Abhari R. Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day. Vaccines 2023;11(4):817 View
  109. Pecoriello J, Yoder N, Smith M, Blakemore J. Keeping you posted: analysis of fertility-related social media posts after introduction of the COVID-19 vaccine. The European Journal of Contraception & Reproductive Health Care 2023;28(3):168 View
  110. Coccia M, Mele M, Magazzino C. The Effectiveness of Vaccination Campaigns on COVID-19 Fatality: A Neural Network Experiment to Guide Policy Responses for Next Pandemic Crises. SSRN Electronic Journal 2022 View
  111. Wadhwani G, Varshney P, Gupta A, Kumar S. Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War. SN Computer Science 2023;4(4) View
  112. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
  113. 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
  114. Lotto M, Zakir Hussain I, Kaur J, Butt Z, Cruvinel T, Morita P. Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study. Journal of Medical Internet Research 2023;25:e44586 View
  115. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View
  116. Shafique R, Aljedaani W, Rustam F, Lee E, Mehmood A, Choi G. Role of Artificial Intelligence in Online Education: A Systematic Mapping Study. IEEE Access 2023:1 View
  117. Stefanis C, Giorgi E, Kalentzis K, Tselemponis A, Nena E, Tsigalou C, Kontogiorgis C, Kourkoutas Y, Chatzak E, Dokas I, Constantinidis T, Bezirtzoglou E. Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models. Frontiers in Public Health 2023;11 View
  118. Xin Y, Tan X, Ren X. Will the Relaxation of COVID-19 Control Measures Have an Impact on the Chinese Internet-Using Public? Social Media-Based Topic and Sentiment Analysis. International Journal of Public Health 2023;68 View
  119. Oduro S, De Nisco A, Mainolfi G. Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus. Technovation 2023;128:102836 View
  120. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  121. 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
  122. Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein M, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461 View
  123. Córdoba-Cabús A, García-Borrego M, Ceballos Y. Sentiment Analysis toward the COVID-19 Vaccine in the Main Latin American Media on Twitter: The Cases of Argentina, Chile, Colombia, Mexico, and Peru. Vaccines 2023;11(10):1592 View
  124. Saleh S, McDonald S, Basit M, Kumar S, Arasaratnam R, Perl T, Lehmann C, Medford R. Public perception of COVID-19 vaccines through analysis of Twitter content and users. Vaccine 2023;41(33):4844 View
  125. Rathke B, Yu H, Huang H. What Remains Now That the Fear Has Passed? Developmental Trajectory Analysis of COVID-19 Pandemic for Co-occurrences of Twitter, Google Trends, and Public Health Data. Disaster Medicine and Public Health Preparedness 2023;17 View
  126. Liu Y, Shi J, Zhao C, Zhang C. Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach. DIGITAL HEALTH 2023;9 View
  127. Gong Z, Yin M, Wang P, Kuang T. Examining the Effect of Social Media Use on COVID-19 Vaccine Hesitancy in China. SHS Web of Conferences 2023;169:01085 View
  128. Leung R. Using AI–ML to Augment the Capabilities of Social Media for Telehealth and Remote Patient Monitoring. Healthcare 2023;11(12):1704 View
  129. Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
  130. Khan S, Biswas M, Shah Z. Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review. Human Vaccines & Immunotherapeutics 2023;19(3) View
  131. Sigalo N, Frias-Martinez V. Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study. JMIR Infodemiology 2023;3:e43700 View
  132. Christiani C, Mulajaya R. Jogo Tonggo Program Policy Innovation In Handling Covid-19 In Central Java Province. International Journal of Social Science and Business 2024;7(3):802 View
  133. 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
  134. 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
  135. Aldosery A, Carruthers R, Kay K, Cave C, Reynolds P, Kostkova P. Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model. Frontiers in Public Health 2024;12 View
  136. Park B, Jang I, Kwak D. Sentiment analysis of the COVID-19 vaccine perception. Health Informatics Journal 2024;30(1) View
  137. Mehra V, Singh P, Bharany S, Sawhney R. Sports, crisis, and social media: a Twitter-based exploration of the Tokyo Olympics in the COVID-19 era. Social Network Analysis and Mining 2024;14(1) View
  138. Revez J. REDES SOCIALES Y DESINFORMACIÓN EN SALUD: EL CASO DE FACEBOOK. Revista EDICIC 2022;2(3) View
  139. Zhang J, Wang Y, Mouton M, Zhang J, Shi M. Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis. Journal of Medical Internet Research 2024;26:e53375 View
  140. Hussain A, Hussain Z, Gogate M, Dashtipour K, Ng D, Riaz M, Goman A, Sheikh A, Hussain A, Clark M. Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication. PLOS ONE 2024;19(4):e0288223 View
  141. Gomez-Adorno H, Bel-Enguix G, Sierra G, Barajas J, Álvarez W. Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish. Informatics 2024;11(2):24 View
  142. Xu Z, Fang Q, Huang Y, Xie M, Yadav J. The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling. PLOS ONE 2024;19(5):e0302502 View
  143. Balcarova T, Pilarova L, Prokop M, Jadrna M, Kvasnickova Stanislavska L, Pilar L. Analysis of green deal communication on twitter: environmental and political perspective. Frontiers in Environmental Science 2024;12 View
  144. DeMora S, Granados Samayoa J, Albarracín D. Social media use and vaccination among Democrats and Republicans: Informational and normative influences. Social Science & Medicine 2024;352:117031 View
  145. Golos A, Guntuku S, Buttenheim A. “Do not inject our babies”: a social listening analysis of public opinion about authorizing pediatric COVID-19 vaccines. Health Affairs Scholar 2024;2(7) View
  146. Ali G, Rahman M, Hossain M, Rahman M, Paul K, Thill J, Samuel J. Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare 2021;9(9):1110 View
  147. Franceschini R, Rosi A, Catani F, Casagli N. Detecting information from Twitter on landslide hazards in Italy using deep learning models. Geoenvironmental Disasters 2024;11(1) View
  148. Liu Y, Zhao C, Zhang C. Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach. DIGITAL HEALTH 2024;10 View
  149. Park S, Jiang Y, Kim H. Importance-Induced Customer Segmentation Using Explainable Machine Learning. Journal of Mechanical Design 2025;147(4) View
  150. 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
  151. Xu J, Guo D, Wu J, Xu J. Can social media promote vaccination? Strategies and effectiveness of COVID-19 vaccine popularization on Chinese Weibo. Frontiers in Public Health 2024;12 View

Books/Policy Documents

  1. Shiau Ching Wong S, Tan J, Gan K, Tan T. Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media. View
  2. Almadan A, Maher M, Pereira F, Guo Y. Advances in Information and Communication. View
  3. Singh A, Bhasin V, Jatana A, Saxena N, Rojal S. International Conference on Innovative Computing and Communications. View
  4. Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  5. Sun R, An L, Li G. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. View
  6. Siddique A, Anisuzzaman B, Al Mamun T, Mukta M, Mamun K. The Fourth Industrial Revolution and Beyond. View
  7. Turska-Kawa A, Stępień-Lampa N. War in Ukraine. Media and Emotions. View
  8. Dutta S, Mukherjee U, Pandey D. Handbook of Research on Thrust Technologies’ Effect on Image Processing. View
  9. Yang L. Wisdom, Well-Being, Win-Win. View
  10. Siddiqua A, Kabir M, Chowdhury M. Surveillance, Prevention, and Control of Infectious Diseases. View
  11. Rossouw S, Greyling T. Resistance to COVID-19 Vaccination. View
  12. Ventura V, Jezek E. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021. View