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

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 2022 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

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