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IEEE Journal of Biomedical and Health Informatics|November 10, 2020
Detecting Medical Misinformation on Social Media Using Multimodal Deep LearningZuhui Wang, Zhaozheng Yin, Young Anna ArgyrisSocial Science & Medicine (1982)|June 20, 2021
The mediating role of vaccine hesitancy between maternal engagement with anti- and pro-vaccine social media posts and adolescent HPV-vaccine uptake rates in the US: The perspective of loss aversion in emotion-laden decision circumstancesYoung Anna Argyris, Yongsuk Kim, Alexa Roscizewski, et al.Social Science & Medicine (1982)|April 5, 2024
Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptanceVictoria Nelson, Bidhan Bashyal, Pang-Ning Tan, et al.2022 IEEE International Conference on Digital Health (IEEE ICDH 2022) : Proceedings : Hybrid Conference, Barcelona, Spain, 11-15 July 2022. International Conference on Digital Health (2022 : Barcelona, Spain; Online)|November 17, 2023
Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social MediaYoung Anna Argyris, Nan Zhang, Bidhan Bashyal, et al.Telematics and Informatics|November 28, 2022
Do social media campaigns foster vaccination adherence? A systematic review of prior intervention-based campaigns on social mediaYoung Anna Argyris, Victoria R Nelson, Kaleigh Wiseley, et al.JMIR Public Health and Surveillance|June 29, 2021
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development StudyYoung Anna Argyris, Kafui Monu, Pang-Ning Tan, et al.Pageof 1