DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can propagate existing societal biases. This poses a serious threat as people seeking aid may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is essential to anal

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