DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these platforms often utilize algorithms that can propagate existing societal biases. This presents a serious issue as users seeking support may encounter unfair outcomes based on their background, identity, or other personal traits. It is vital to deconstruct the

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