Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to provide mental health assistance. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This raises a serious issue as users seeking aid may encounter discriminatory outcomes based on their ethnicity, gender, or other personal traits. It is vital to analyze thes