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

Infoveillance and Social Listening (320) Infodemiology and Infoveillance (1588) mHealth for Wellness, Behavior Change and Prevention (3409) Innovations and Technology for Healthy Eating Education (506) Obesity (122) Information Quality in Digital Media (414) Consumer & Patient Education and Shared-Decision Making (909) Innovations and Technology for Physical Activity Education (963) Design and Evaluation of Patient Education Materials (129)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51701, first published .
Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach

Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach

Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach

Authors of this article:

Carlos A Almenara1 Author Orcid Image ;   Hayriye Gulec2 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Almenara C, Gulec H. Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach. JMIR Infodemiology 2024;4:e51701 View
  2. Gulec H. From scroll to sale: online media engagement predicts adolescents' online supplement purchases in a nationally representative cross-sectional study. Frontiers in Psychology 2026;17 View