Health Websites and Reliability Components
Abstract
AI
AI
The paper presents a framework aimed at helping users evaluate the reliability of health websites, emphasizing the necessity for consumers to discern credible sources amidst the vast amount of health information online. It reviews existing literature on the criteria for website credibility, identifies common reliability components such as accuracy, authority, and bias, and provides visuals to illustrate these criteria's practical applications in real-world website assessments.
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