UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often depend on algorithms that can propagate existing societal biases. This presents a serious issue as users seeking help may encounter discriminatory outcomes based on their race, sex, or other sensitive attributes. It is vital to analyze these ineq

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