EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health resources. However, these platforms often rely algorithms that can propagate existing societal biases. This presents a serious issue as users seeking help may encounter unfair outcomes based on their ethnicity, identity, or other sensitive attributes. It is crucial to unpack these b

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