EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these platforms often rely algorithms that can reinforce existing societal biases. This raises a serious concern as people seeking support may encounter unfair outcomes based on their race, identity, or other sensitive attributes. It is crucial to unpack these ineq

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