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

JMIR Theme Issue: COVID-19 Special Issue (2391) Artificial Intelligence (1198) Vaccination and Immunization in the Digital Age (346) Mass Media/Social Media Communication and Campaigns (448) Outbreak and Pandemic Preparedness and Management (1675) COVID-19 Vaccination (128) Infodemiology and Infoveillance (1274) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482)

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 (168) Tweetations (19) Metrics

Journals

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  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
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  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
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  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
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  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
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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