UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these platforms often rely algorithms that can perpetuate existing societal biases. This poses a serious concern as people seeking support may encounter unfair outcomes based on their race, identity, or other personal traits. It is crucial to analyze these disparit

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