Dissecting Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to offer website mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking aid may encounter discriminatory outcomes based on their race, identity, or other protected characteristics. It is essential to decons