EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can reinforce existing societal biases. This raises a serious threat as individuals seeking help may encounter discriminatory outcomes based on their race, identity, or other sensitive attributes. It is vital to deco

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