DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these platforms often utilize algorithms that can perpetuate existing societal biases. This raises a serious threat as individuals seeking help may encounter unfair outcomes based on their background, sex, or other personal traits. It is crucial to analyze these

consumer idea of the content material of a website usually depends on person knowledge of how the website performs. This is part from the consumer encounter design. consumer encounter is relevant to structure, distinct Guidance, and labeling on a website. How well a person understands how they might interact on the internet site could also rely on