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

Quality of Medical Educational and Instructional Material (27) JMIR Theme Issue: COVID-19 Special Issue (2452) Social Media in Medical Education (68) e-Learning and Medical Education (691) eHealth Literacy / Digital Literacy (390) Quality/Credibility of eHealth Information and Trust Issues (531) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38377, first published .
A Web Tool to Help Counter the Spread of Misinformation and Fake News: Pre-Post Study Among Medical Students to Increase Digital Health Literacy

A Web Tool to Help Counter the Spread of Misinformation and Fake News: Pre-Post Study Among Medical Students to Increase Digital Health Literacy

A Web Tool to Help Counter the Spread of Misinformation and Fake News: Pre-Post Study Among Medical Students to Increase Digital Health Literacy

Authors of this article:

Valentina Moretti1 Author Orcid Image ;   Laura Brunelli1, 2 Author Orcid Image ;   Alessandro Conte3 Author Orcid Image ;   Giulia Valdi1 Author Orcid Image ;   Maria Renza Guelfi4 Author Orcid Image ;   Marco Masoni4 Author Orcid Image ;   Filippo Anelli5 Author Orcid Image ;   Luca Arnoldo1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

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  1. Grechushkina N. Results of a Pilot Study of Health Awareness, Trust in Health Professionals, Preferences, and Opinions About Healthcare Among a Sample of Adults. City Healthcare 2023;4(3):26 View
  2. Parisi L, Mulargia S, Comunello F, Bernardini V, Bussoletti A, Nisi C, Russo L, Campagna I, Lanfranchi B, Croci I, Grassucci E, Gesualdo F. Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances. BMC Public Health 2023;23(1) View
  3. Grechushkina N. Results of a Pilot Study of Health Awareness, Trust in Health Professionals, Preferences, and Opinions About Healthcare Among a Sample of Adults. City Healthcare 2023;4(3):26 View
  4. Sun J, Pan W. Self-Correction or Other-Correction: The Effects of Source Consistency and Ways of Correction on Sharing Intention of Health Misinformation Correction. Health Communication 2024:1 View
  5. Yang M, Huang W, Shen M, Du J, Wang L, Zhang Y, Xia Q, Yang J, Fu Y, Mao Q, Pan M, Huangfu Z, Wang F, Zhu W. Qualitative research on undergraduate nursing students' recognition and response to short videos’ health disinformation. Heliyon 2024;10(15):e35455 View
  6. Mayers T, Okamura Y, Kanaji M, Shimoda T, Maki N, Maeno T. Medical Student Voices on the Effect of the COVID-19 Pandemic and Motivation to Study: A Mixed-Method Qualitative Study. COVID 2024;4(9):1485 View
  7. McKinney Z, Tessier K, Shaheen Z, Schwitzer G, Olson A, Scheurer J, Krohn K. Empowering Third-Year Medical Students to Detect Bias and Medical Misinformation Online via Experiential Learning of "Lateral Reading," A Fact-Checker’s Technique. Teaching and Learning in Medicine 2024:1 View
  8. Budi S, Putri D, Puspitasari K, Sena A. Implementation of the Digital Health Approach to Support Learning for Health Students Based on Bloom’s Taxonomy: A Systematic Review. Healthcare Informatics Research 2024;30(4):387 View