UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these tools often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking support may encounter discriminatory outcomes based on their race, sex, or other sensitive attributes. It is vital to unpack these biases a

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