Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47317, first published .
Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study

Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study

Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study

Journals

  1. Abuhaloob L, Purnat T, Tabche C, Atwan Z, Dubois E, Rawaf S. Management of infodemics in outbreaks or health crises: a systematic review. Frontiers in Public Health 2024;12 View
  2. Wehrli S, Irrgang C, Scott M, Arnrich B, Boender T. The role of the (in)accessibility of social media data for infodemic management: a public health perspective on the situation in the European Union in March 2024. Frontiers in Public Health 2024;12 View
  3. Ishizumi A, Kolis J, Abad N, Prybylski D, Brookmeyer K, Voegeli C, Wardle C, Chiou H. Beyond misinformation: developing a public health prevention framework for managing information ecosystems. The Lancet Public Health 2024;9(6):e397 View
  4. 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
  5. Tsao S, Chen H, Meyer S, Butt Z. Proposing a Conceptual Framework: Social Media Infodemic Listening for Public Health Behaviors. International Journal of Public Health 2024;69 View