Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health support. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious concern as users seeking help may encounter unfair outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to analyze these in