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

Vaccination and Immunization in the Digital Age (443) Machine Learning (2083) Public Health Informatics (135) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1141) Parent and Caregiver Education and Behavior Change for Vaccination (91) Mass Media/Social Media Communication and Campaigns (575) Infodemiology and Infoveillance (1561) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1917) Discourse (40)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23105, first published .
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study

Authors of this article:

Young Anna Argyris1 Author Orcid Image ;   Kafui Monu2 Author Orcid Image ;   Pang-Ning Tan1 Author Orcid Image ;   Colton Aarts3 Author Orcid Image ;   Fan Jiang3 Author Orcid Image ;   Kaleigh Anne Wiseley1 Author Orcid Image
Article Authors Cited by (23) Tweetations (7) Metrics

Journals

  1. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  2. Hagen L, Fox A, O'Leary H, Dyson D, Walker K, Lengacher C, Hernandez R. The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding. JMIR Infodemiology 2022;2(1):e34231 View
  3. 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
  4. Segall R, Sankarasubbu V. Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases. International Journal of Artificial Intelligence and Machine Learning 2022;12(2):1 View
  5. Di Domenico G, Nunan D, Pitardi V. Marketplaces of Misinformation: A Study of How Vaccine Misinformation Is Legitimized on Social Media. Journal of Public Policy & Marketing 2022;41(4):319 View
  6. Upadhyaya A, Fisichella M, Nejdl W. Towards sentiment and Temporal Aided Stance Detection of climate change tweets. Information Processing & Management 2023;60(4):103325 View
  7. Fasce A, Schmid P, Holford D, Bates L, Gurevych I, Lewandowsky S. A taxonomy of anti-vaccination arguments from a systematic literature review and text modelling. Nature Human Behaviour 2023;7(9):1462 View
  8. Kurt O, Küçükkelepçe O, Öz E, Doğan Tiryaki H, Parlak M. Childhood Vaccine Attitude and Refusal among Turkish Parents. Vaccines 2023;11(8):1285 View
  9. Schlicht I, Fernandez E, Chulvi B, Rosso P. Automatic detection of health misinformation: a systematic review. Journal of Ambient Intelligence and Humanized Computing 2024;15(3):2009 View
  10. Nelson V, Bashyal B, Tan P, Argyris Y. Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance. Social Science & Medicine 2024;348:116775 View
  11. Kumi S, Snow C, Lomotey R, Deters R. Uncovering Concerns of Citizens Through Machine Learning and Social Network Sentiment Analysis. IEEE Access 2024;12:94885 View
  12. Nielsen J, Chen X, Davis L, Waterman A, Gentili M. Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis. JMIR AI 2025;4:e57319 View
  13. Le N, McMann T, Wenzel C, Li Z, Xu Q, Cuomo R, Yang J, Mackey T. COVID-19 pediatric vaccine Hesitancy: Themes and interactions with verified twitter accounts. Vaccine 2025;47:126688 View
  14. Paradise Vit A, Magid A. Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis. JMIR Infodemiology 2025;5:e70576 View
  15. Huguet-Feixa A, Artigues-Barberà E, Sol J, Gomez-Arbones X, Godoy P, Bravo M. Vaccine refusal and hesitancy in Spain: an online cross-sectional questionnaire. BMC Primary Care 2025;26(1) View
  16. Guo X, Mohd Adnan H, Zainal Abidin M. Behind the screen: Exploring perceptions, attitudes, and coping behaviors toward cyberbullying on Douyin among Chinese undergraduates. Journal of Human Behavior in the Social Environment 2025:1 View
  17. Huguet-Feixa A, Ahmed W, Artigues-Barberà E, Sol J, Gomez-Arbones X, Godoy P, Ortega Bravo M. Mapping Vaccine Sentiment by Analyzing Spanish-Language Social Media Posts and Survey-Based Public Opinion: Dual Methods Study. JMIR Infodemiology 2025;5:e63223 View
  18. Mendes V, Mendes B, Moura R, Lourenço I, Oliveira M, Ng K, Pinto C. Harnessing artificial intelligence for enhanced public health surveillance: a narrative review. Frontiers in Public Health 2025;13 View
  19. Huguet-Feixa A, Ahmed W, Artigues-Barberà E, Sol J, Godoy P, Ortega Bravo M. Vaccination Conversations on X in Spanish and Catalan: Qualitative Content Analysis. JMIR Infodemiology 2025;5:e67942 View
  20. Karami A, Zain A, Jamal A. Unveiling the information mirage: a systematic literature review of health misinformation on social media. Journal of Public Health 2025 View

Books/Policy Documents

  1. Segall R. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning. View
  2. Hossain S, Sulaiman S. Advances on Intelligent Informatics and Computing. View

Conference Proceedings

  1. Argyris Y, Zhang N, Bashyal B, Tan P. 2022 IEEE International Conference on Digital Health (ICDH). Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media View