Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This poses a serious issue as individuals seeking aid may encounter unfair outcomes based on their background, identity, or other personal traits. It is essential to analyze these d