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

Web-based and Mobile Health Interventions (3113) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (40)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27945, first published .
Effect of Source Type and Protective Message on the Critical Evaluation of News Messages on Facebook: Randomized Controlled Trial in the Netherlands

Effect of Source Type and Protective Message on the Critical Evaluation of News Messages on Facebook: Randomized Controlled Trial in the Netherlands

Effect of Source Type and Protective Message on the Critical Evaluation of News Messages on Facebook: Randomized Controlled Trial in the Netherlands

Authors of this article:

Frans Folkvord1 Author Orcid Image ;   Freek Snelting2 Author Orcid Image ;   Doeschka Anschutz3 Author Orcid Image ;   Tilo Hartmann4 Author Orcid Image ;   Alexandra Theben5 Author Orcid Image ;   Laura Gunderson1 Author Orcid Image ;   Ivar Vermeulen4 Author Orcid Image ;   Francisco Lupiáñez-Villanueva1 Author Orcid Image
Article Authors Cited by (6) Tweetations (7) Metrics

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  2. Kwek A, Peh L, Tan J, Lee J. Distractions, analytical thinking and falling for fake news: A survey of psychological factors. Humanities and Social Sciences Communications 2023;10(1) View
  3. Hansen R, Baiju N, Gabarron E. Social Media as an Effective Provider of Quality-Assured and Accurate Information to Increase Vaccine Rates: Systematic Review. Journal of Medical Internet Research 2023;25:e50276 View
  4. Marecos J, Tude Graça D, Goiana-da-Silva F, Ashrafian H, Darzi A. Source Credibility Labels and Other Nudging Interventions in the Context of Online Health Misinformation: A Systematic Literature Review. Journalism and Media 2024;5(2):702 View
  5. Hartwig K, Doell F, Reuter C. The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review. ACM Computing Surveys 2024 View