DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious issue as users seeking help may encounter prejudiced outcomes based on their ethnicity, sex, or other sensitive attributes. It is essential to unpack these dispar

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