DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these tools often depend on algorithms that can propagate existing societal biases. This raises a serious concern as people seeking help may encounter prejudiced outcomes based on their race, identity, or other sensitive attributes. It is essential to deconstruct th

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