EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these platforms often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking support may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is vital to deconstruct th

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