Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health support. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking aid may encounter prejudiced outcomes based on their race, gender, or other protected characteristics. It is essential to analyze these bias