Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to offer mental health resources. However, these platforms often depend on website algorithms that can propagate existing societal biases. This raises a serious threat as users seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is cruci