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

Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Machine Learning (2076) HPV Vaccination (70) Vaccination and Immunization in the Digital Age (442) Mass Media/Social Media Communication and Campaigns (574) Natural Language Processing (917) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (93)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26478, first published .
Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions

Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions

Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions

Authors of this article:

Jingcheng Du1 Author Orcid Image ;   Sharice Preston2 Author Orcid Image ;   Hanxiao Sun1, 2 Author Orcid Image ;   Ross Shegog2 Author Orcid Image ;   Rachel Cunningham3 Author Orcid Image ;   Julie Boom3, 4 Author Orcid Image ;   Lara Savas2 Author Orcid Image ;   Muhammad Amith1 Author Orcid Image ;   Cui Tao1 Author Orcid Image
Article Authors Cited by (22) Tweetations (7) Metrics

Journals

  1. Kabir M. Topic and sentiment analysis of responses to Muslim clerics’ misinformation correction about COVID-19 vaccine: Comparison of three machine learning models. Online Media and Global Communication 2022;1(3):497 View
  2. Le D, Kim H, Wen K, Juon H. Disparities in awareness of the HPV vaccine and HPV-associated cancers among racial/ethnic minority populations: 2018 HINTS. Ethnicity & Health 2023;28(4):586 View
  3. Gozuacik N, Sakar C, Ozcan S. Technological forecasting based on estimation of word embedding matrix using LSTM networks. Technological Forecasting and Social Change 2023;191:122520 View
  4. Duzen Z, Riveni M, Aktas M. Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis. Computers 2023;12(11):232 View
  5. Yee A. Machine learning, misinformation, and citizen science. European Journal for Philosophy of Science 2023;13(4) View
  6. Zhang B, Naderi N, Mishra R, Teodoro D. Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI 2024;3:e42630 View
  7. Ashok G, Basu S, Priyamvada P, Anbarasu A, Chintala S, Ramaiah S. Coinfections in human papillomavirus associated cancers and prophylactic recommendations. Reviews in Medical Virology 2024;34(2) View
  8. Kanthi K, Shashi M, Madhuri K. Improved detection of fake news using combined semantic analysis and a source credibility evaluation. i-manager's Journal on Computer Science 2024;12(1):9 View
  9. Rai S, Kornides M, Morgan J, Kumar A, Cappella J, Guntuku S. Detecting and monitoring concerns against HPV vaccination on social media using large language models. Scientific Reports 2024;14(1) View
  10. Murdock I, Carley K, Yağan O. An agent-based model of cross-platform information diffusion and moderation. Social Network Analysis and Mining 2024;14(1) View
  11. Komendantova N, Erokhin D. Artificial Intelligence Tools in Misinformation Management during Natural Disasters. Public Organization Review 2025;25(1):81 View
  12. Treadgold B, Coulson N, Campbell J, Lambert J, Pitchforth E. Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review. Journal of Medical Internet Research 2025;27:e71140 View
  13. Ding Z, Deng J, Mermelstein L, Nemesure B, Osborne T, Wang F. Demographic disparities, temporal trends, and geographic patterns of HPV vaccination on Long Island, New York: A comprehensive analysis of immunization registry data (2012–2023). Human Vaccines & Immunotherapeutics 2025;21(1) View
  14. Giannella L, Grelloni C, Natalini L, Sartini G, Lavezzo F, Cicoli C, Bernardi M, Bordini M, Petrini M, Petrucci J, Terenzi T, Delli Carpini G, Di Giuseppe J, Ciavattini A. The Role of Internet Information on Anti-HPV Vaccines: A Comprehensive Overview of a Double-Edged Sword. Vaccines 2025;13(5):445 View
  15. Sun Z, Yim W, Uzuner Ö, Xia F, Yetisgen M. A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination. Journal of Biomedical Informatics 2025;169:104866 View
  16. Liu X, Valdez D, Parker M, Mai A, Walsh-Buhi E. Quality of Cancer-Related Information on New Media (2014-2023): Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e73185 View
  17. Malek S, Griffin C, Fraleigh R, Lennon R, Monga V, Shen L. Combating Health Misinformation with Large Language Models: Automated Detection, Thematic Analysis, and Inoculation (A case study on covid-19) (Preprint). Journal of Medical Internet Research 2025 View
  18. Cianciulli A, Santoro E, Manente R, Pacifico A, Quagliarella S, Bruno N, Schettino V, Boccia G. Artificial Intelligence and Digital Technologies Against Health Misinformation: A Scoping Review of Public Health Responses. Healthcare 2025;13(20):2623 View
  19. Feng X, Luo J, Yang Y, El Baz D, Shi L. Health Misinformation Detection: Approaches, Challenges and Opportunities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2025;62 View
  20. William W, Ware A. Leveraging AI and data science across the cervical cancer care continuum in developing economies. Discover Artificial Intelligence 2025;5(1) View

Books/Policy Documents

  1. Mohan Kumar A, Jnanavi , Bhat H. Proceedings of the International Conference on Cognitive and Intelligent Computing. View

Conference Proceedings

  1. Murdock I, Carley K, Yağan O. Proceedings of the International Conference on Advances in Social Networks Analysis and Mining. An Agent-Based Model of Reddit Interactions and Moderation View