EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking help may encounter prejudiced outcomes based on their ethnicity, identity, or other personal traits. It is essential to deconstruct t

User understanding of the material of a website usually is dependent upon person idea of how the website operates. This is part of the user experience design. User encounter is associated with layout, crystal clear Guidance, and labeling on a web site. How very well a user understands how they are able to interact over a web-site may rely on the in