Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health support. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking help may encounter unfair outcomes based on their race, identity, or other protected characteristics. It is essential to analyze t