DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking help may encounter prejudiced outcomes based on their race, identity, or other sensitive attributes. It is essential to analyze these di

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