Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking help may encounter prejudiced outcomes based on their background, gender, or ot