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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F24%3A00138309" target="_blank" >RIV/00216224:14230/24:00138309 - isvavai.cz</a>

Výsledek na webu

<a href="https://infodemiology.jmir.org/2024/1/e51701/" target="_blank" >https://infodemiology.jmir.org/2024/1/e51701/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2196/51701" target="_blank" >10.2196/51701</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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, "PeopleAlso Ask" featured questions, and GoogleTrends data. A data-mining softwaretool was developed to retrievethe 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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, "PeopleAlso Ask" featured questions, and GoogleTrends data. A data-mining softwaretool was developed to retrievethe 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50601 - Political science

Projekt

<a href="/cs/project/LX22NPO5101" target="_blank" >LX22NPO5101: Národní institut pro výzkum socioekonomických dopadů nemocí a systémových rizik</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

JMIR Infodemiology

ISSN

2564-1891

e-ISSN

2564-1891

Svazek periodika

4

Číslo periodika v rámci svazku

December

Stát vydavatele periodika

CA - Kanada

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

001378882800001

EID výsledku v databázi Scopus

2-s2.0-85214533813