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

Formative Evaluation of Digital Health Interventions (2193) Public (e)Health, Digital Epidemiology and Public Health Informatics (636) Instruments and Questionnaires for Nutrition and Food Intake (159) Information Seeking, Information Needs (419)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32302, first published .
Media Source Characteristics Regarding Food Fraud Misinformation According to the Health Information National Trends Survey (HINTS) in China: Comparative Study

Media Source Characteristics Regarding Food Fraud Misinformation According to the Health Information National Trends Survey (HINTS) in China: Comparative Study

Media Source Characteristics Regarding Food Fraud Misinformation According to the Health Information National Trends Survey (HINTS) in China: Comparative Study

Authors of this article:

Angela Chang1, 2 Author Orcid Image ;   Peter Johannes Schulz2 Author Orcid Image ;   Wen Jiao1 Author Orcid Image ;   Guoming Yu3 Author Orcid Image ;   Ya Yang3 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Sameshima N, Akamatsu R. A cluster analysis of Japanese consumer perceptions concerning information about the safety of food products. Food Control 2023;149:109723 View
  2. Lu Q, Chang A, Yu G, Yang Y, Schulz P. Social capital and health information seeking in China. BMC Public Health 2022;22(1) View
  3. Chen S, Xiao L, Kumar A. Spread of misinformation on social media: What contributes to it and how to combat it. Computers in Human Behavior 2023;141:107643 View
  4. Chen S, Xiao L. Predicting and characterising persuasion strategies in misinformation content over social media based on the multi-label classification approach. Journal of Information Science 2023:016555152311699 View
  5. Jiao W, Chang A, Ho M, Lu Q, Liu M, Schulz P. Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2023;25:e47595 View
  6. Lu Q, Schulz P, Chang A. Medication safety perceptions in China: Media exposure, healthcare experiences, and trusted information sources. Patient Education and Counseling 2024;123:108209 View
  7. Sameshima N, Akamatsu R. Japanese consumers’ interpretation of food origin information and their preferences for domestic foods. Nutrition & Food Science 2024;54(3):650 View
  8. Nangi M, Kamaruddin S, Adam A, Lestari S. Social Media as a Virtual Public Sphere in Health Education: A Systematic Review from the Perspective of Habermas' Public Sphere Theory. Jurnal Kesehatan Komunitas Indonesia 2024;4(1):36 View
  9. Zhang L, Jiang S. Examining the Role of Information Behavior in Linking Cancer Risk Perception and Cancer Worry to Cancer Fatalism in China: Cross-Sectional Survey Study. Journal of Medical Internet Research 2024;26:e49383 View