Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking help may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is vital to deconstruct