Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can reinforce here existing societal biases. This poses a serious threat as users seeking aid may encounter discriminatory outcomes based on their background, sex, or other protected characteristics. It is essential