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

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2024-12-11 DOI:10.2196/51701
Carlos A Almenara, Hayriye Gulec
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引用次数: 0

Abstract

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.

发现b谷歌上的顶级非广告减肥网站:一种数据挖掘方法。
背景:网上减肥信息是互联网用户普遍寻求的,它可能会影响他们的健康决策和行为。之前的研究调查了有限数量的谷歌搜索查询,并依赖于手动方法检索在线减肥网站。目的:本研究旨在识别和描述b谷歌上的顶级减肥网站的特点。方法:本研究收集了从谷歌自动补全建议、“People Also Ask”特色问题和谷歌Trends数据中收集的432条谷歌搜索查询。开发了一个数据挖掘软件工具来自动检索搜索结果,分别将英语和美国设置为语言和位置的默认标准。采用领域分类和评估技术,根据网站内容对网站进行分类,确定网站遭受网络攻击的风险。此外,在非广告(即非赞助)搜索结果中最常见的前5个网站的质量进行了检查。结果:非广告网站排名前5位的分别是healthline.com、webmd.com、verywellfit.com、mayoclinic.org和womenshealthmag.com。所有人都提供了准确性声明和作者证书。领域分类分类法产生了总共101个唯一的类别。在对出现次数少于5次的网站进行分组后,最常见的类别包括“健康”(164 /623,16.69%)、“个人网页和博客”(91/623,14.61%)、“营养和饮食”(48/623,7.7%)和“锻炼”(34/623,5.46%)。成为网络攻击受害者的风险很低。结论:研究结果表明,虽然高质量的信息是可访问的,但用户在各种在线资源中仍然可能遇到不太可靠的内容。因此,需要更好的工具和方法来引导用户获得值得信赖的减肥信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.80
自引率
0.00%
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