UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other sensitive attributes. It is vital to unpack these

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