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

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
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  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
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  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
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  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
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  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
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  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
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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