DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This poses a serious concern as users seeking support may encounter discriminatory outcomes based on their race, gender, or other sensitive attributes. It is crucial to analyze th

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