Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious issue as people seeking help may encounter prejudiced outcomes based on their background, identity, or other protected characteristics. It is crucial to analyze th