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

The findings suggested that while quality information is accessible, users may still encounter less reliable content among various online resources. Therefore, better tools and methods are needed to guide users toward trustworthy weight loss information.

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Institutions

Publication Details

Journal
JMIR Infodemiology
Published
2024-10-24
DOI
https://doi.org/10.2196/51701
Citations
2
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
1.09

Funders

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article

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

Hayriye Güleç, Carlos A. Almenara
2 citations
JMIR Infodemiology
Nutritional Studies and Diet
1.09
article

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

Hayriye Güleç, Carlos A. Almenara
article en
2 citations

Abstract

The findings suggested that while quality information is accessible, users may still encounter less reliable content among various online resources. Therefore, better tools and methods are needed to guide users toward trustworthy weight loss information.

JMIR InfodemiologyVol. 4
Peruvian University of Applied Sciences (PE), Masaryk University (CZ)
European Commission
Decent work and economic growth
Openalex Percentile: Top 20%
Nutritional Studies and Diet
1.09
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