EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This raises a serious issue as individuals seeking aid may encounter unfair outcomes based on their ethnicity, identity, or other sensitive attributes. It is vital to unpack th

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