DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often utilize algorithms that can propagate 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

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