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

Infoveillance and Social Listening (212) Infodemiology and Infoveillance (1365) mHealth for Wellness, Behavior Change and Prevention (2912) Innovations and Technology for Healthy Eating Education (424) Obesity (86) Information Quality in Digital Media (346) Consumer & Patient Education and Shared-Decision Making (689) Innovations and Technology for Physical Activity Education (754) Design and Evaluation of Patient Education Materials (76)

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 Tweetations (1) Metrics

Carlos A Almenara   1 * , PhD ;   Hayriye Gulec   2 * , PhD

1 School of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru

2 Interdisciplinary Research Team on Internet and Society, Faculty of Social Studies, Masaryk University, Brno, Czech Republic

*all authors contributed equally

Corresponding Author:

  • Carlos A Almenara, PhD
  • School of Health Sciences
  • Universidad Peruana de Ciencias Aplicadas
  • Av. Alameda San Marcos 11
  • Lima, 15067
  • Peru
  • Phone: 51 3133333 ext 2803
  • Fax: 51 3133333
  • Email: carlos.almenara@upc.pe