EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these platforms often utilize algorithms that can reinforce existing societal biases. This poses a serious threat as people seeking aid may encounter unfair outcomes based on their race, identity, or other sensitive attributes. It is crucial to analyze these dis

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