UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these platforms often depend on algorithms that can propagate existing societal biases. This raises a serious concern as users seeking help may encounter unfair outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to unpack these

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