DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these platforms often rely algorithms that can propagate existing societal biases. This presents a serious threat as individuals seeking support may encounter unfair outcomes based on their background, gender, or other sensitive attributes. It is essential to decon

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