Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious issue as users seeking help may encounter unfair outcomes based on their ethnicity, gender, or other personal traits. It is vital to unpack these bias