Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach
Language English Country Canada Media electronic
Document type Journal Article
PubMed
39661980
PubMed Central
PMC11669867
DOI
10.2196/51701
PII: v4i1e51701
Knihovny.cz E-resources
- Keywords
- Google, consumer health informatics, cyberattack risk, data mining, digital health, information seeking, internet search, online health information, website analysis, weight loss,
- MeSH
- Data Mining * methods MeSH
- Weight Loss * MeSH
- Internet * MeSH
- Humans MeSH
- Search Engine MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- United States MeSH
BACKGROUND: Online weight loss information is commonly sought by internet users, and it may impact their health decisions and behaviors. Previous studies examined a limited number of Google search queries and relied on manual approaches to retrieve online weight loss websites. OBJECTIVE: This study aimed to identify and describe the characteristics of the top weight loss websites on Google. METHODS: This study gathered 432 Google search queries collected from Google autocomplete suggestions, "People Also Ask" featured questions, and Google Trends data. A data-mining software tool was developed to retrieve the search results automatically, setting English and the United States as the default criteria for language and location, respectively. Domain classification and evaluation technologies were used to categorize the websites according to their content and determine their risk of cyberattack. In addition, the top 5 most frequent websites in nonadvertising (ie, nonsponsored) search results were inspected for quality. RESULTS: The results revealed that the top 5 nonadvertising websites were healthline.com, webmd.com, verywellfit.com, mayoclinic.org, and womenshealthmag.com. All provided accuracy statements and author credentials. The domain categorization taxonomy yielded a total of 101 unique categories. After grouping the websites that appeared less than 5 times, the most frequent categories involved "Health" (104/623, 16.69%), "Personal Pages and Blogs" (91/623, 14.61%), "Nutrition and Diet" (48/623, 7.7%), and "Exercise" (34/623, 5.46%). The risk of being a victim of a cyberattack was low. CONCLUSIONS: 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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Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach