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

Web-based and Mobile Health Interventions (4083) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (96)

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 (11) Tweetations (7) Metrics

Journals

  1. Salvador-Mata B, Cortiñas-Rovira S, Herrero-Solana V. La investigación en periodismo y covid-19 en España: mayor impacto académico en citas, aproximaciones metodológicas clásicas e importancia temática de la desinformación. Revista Latina de Comunicación Social 2023;(81):554 View
  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;56(11):1 View
  6. Varela da Costa J, Fernandes A, Mira da Silva M. Fake news and risk management: a systematic literature review. Journal of Risk Research 2024;27(12):1524 View
  7. Irwanto I, Bahfiarti T, Unde A, Sonni A. Information disorder’s impact on adolescents: publication trends and recommendations. Frontiers in Communication 2025;10 View
  8. Demir G, Darıcı S, Tamer Z, Taydaş O, Pamučar D. “Even I believed it! How is it possible?” The disinformation exam of journalists in the AI age: fuzzy logical approach. Journal of Computational Social Science 2025;8(4) View
  9. Varela da Costa J, Bogea Gomes S, Mira da Silva M. Corporate fake news impacts: A reference model. Technology in Society 2026;84:103091 View

Conference Proceedings

  1. Tang H, Lenzini G, Greiff S, Rohles B, Sergeeva A. Designing Interactive Systems Conference. “Who Knows? Maybe it Really Works”: Analysing Users' Perceptions of Health Misinformation on Social Media View
  2. Tang H, Rohles B, Chuai Y, Lenzini G, Sergeeva A. 2025 European Symposium on Usable Security (EuroUSEC). Between Privacy and Transparency: Exploring the Ways of Communicating Credibility Assessment View